Data Processing Work Research Articles

Significance and methodology: Preprocessing the big data for machine learning on TBM performance

This paper addresses the significance of preprocessing big data collected during a tunnel boring machine (TBM) excavation before it is used for machine learning on various TBM performance predictions. The research work is based on two water diversion tunneling projects that cover 29.52 km and 17 051 boring cycles. It has been found that the penetration rate calculated from the raw measured penetration distances exhibits more random behavior owing to their percussive and vibratory behavior of the cutterhead. A moving average method to process the negative instantaneous velocities and a noise reduction filter to deal with signals with abnormal frequencies have been recommended. An index called the drilling efficiency index is introduced to assess the relationships between the mechanical parameters in a boring cycle, whose linear regression coefficient R2 is taken for a preliminary investigation of possible problems requiring preprocessing. The research work defines the irrelevant data whose errors are caused by human or mechanical mistakes, and therefore should be cleaned or amended. These irrelevant data can be divided into five categories: (1) premature cycles, (2) sensor defects, (3) mechanical defects, (4) human interruption, and (5) missing files. A program TBM-Processing has been coded for the recognition and classification of these categories. PDF books generated by the program have been uploaded at GitHub to encourage discussions, collaboration, and upgrading of the data processing work with our peers.

Retracted] Research on the Construction of Crossborder e‐Commerce Logistics Service System Based on Machine Learning Algorithms

Based on machine learning algorithms, this paper designs a crossborder e‐commerce logistics service system recommendation algorithm. First, we introduce the meaning of query recommendation, analyze the mechanism of e‐commerce platform shopping search, redesign the query recommendation process on this basis, establish a Markov decision process model for the problem, and solve the optimal recommendation strategy through deep machine learning algorithms. Second, we design a simple calculation example, use Python programming through a simulated shopping environment, give the solution process of the optimal recommendation strategy in the whole process, and prove the feasibility of the algorithm. The sentiment synthesis word vector is used as the input data structure of the text, the convolutional neural network model and the recurrent neural network model in machine learning are independently designed and constructed, and a shunt is proposed. The rule (shunt) realizes the operation of judging the data and inputting the two machine learning networks. The shunt fully realizes the combination of the advantages of the local feature characterization of the convolutional neural network and the timing characteristics of the recurrent neural network and achieves a more efficient and accurate electrical system. Finally, through simulation experiments, a series of data processing work such as data outlier cleaning, sliding window construction features of data variables, and training set and test set division are designed to convert regression prediction problems into classification problems to predict commodity demand. At the same time, it also compared the effect of the time series model, random forest model, GBDT, single Xgboost model, and the model used in this topic and analyzed the reasons for this difference and the application of each model.

Pre-Harvest Fruit Image Processing: A Brief Review

Agriculture is essential for the development of human civilization. Methods that can precisely estimate the yield of a crop or to perform the harvest automatically using robots can decrease the costs involved and increase production efficiency. With the advancement of agriculture 4.0, current technologies like the internet of things, big data, and artificial intelligence have become more and more common. Systems that use image processing with Deep Learning methods are becoming viable in solving agricultural problems. Deep Learning is part of a large family of methods based on artificial neural networks that can mimic the human brain's work in data processing and pattern recognition for decision-making. Indeed, applications of Deep Learning techniques in agriculture are relatively recent. However, with the rapid advance in Deep Learning and its successful application in agriculture, many articles have been published in recent years. Thus, the main objective of this work was to carry out a brief bibliographic review of pre-harvest fruit image processing techniques, emphasizing the most recent applications using Deep Learning. As seen in the literature, Deep Learning is a promising tool for various agricultural activities, including fruit counting and automatic fruit harvesting using robots .

PELATIHAN ANAK YATIM DAN DHUAFA DALAM UPAYA MENINGKATKAN PENGGUNAAN MICROSOFT WORD DAN MICROSOFT EXCEL DI ASRAMA DOMYADHU CABANG CIPUTAT

<p><em>Along with the development of Information Technology, computers and their use in everyday life are used to process data into information. One of the important programs that a computer user must have and control is Microsoft Office. As the name implies, this program can help to do data processing work more easily. In Microsoft Office there are many types of programs that can be used, for example Microsoft Word and Microsoft Excel. Microsoft Word is a program that is very important in everyday life. This program is a word processing program that includes creating, editing and formatting documents. Meanwhile, Microsoft Excel is a program designed to perform number processing. The Unindra community service team will carry out community service activities at the Domyadhu Foundation in the Ciputat branch by providing training on the use of Microsoft Word and Microsoft Excel. By conducting this training, it is hoped that it can improve knowledge on the use of Microsofot Word and Microsoft Excel for younger siblings at the Foundation.</em></p>

PENGEMBANGAN KARIER DAN TEKNOLOGI INFORMASI DALAM MENINGKATKAN PRESTASI KERJA PEGAWAI PADA KANTOR CAMAT DENPASAR TIMUR

Assessment of work performance needs to pay attention to career development and information technology. Career development shows future organizational development in line with capacity development for employees. Therefore, the researcher examines more deeply related to career development and information technology in an effort to improve the work performance of the employees of the East Denpasar District Office by using qualitative descriptive methods. Based on the analysis, it can be explained that (i) Career development acts as a motivation for the employees of the East Denpasar District Office to work maximum and optimally. (ii) Information technology plays a role in facilitating the completion of the work of the employees of the East Denpasar District Office because by utilizing computer technology it is able to facilitate data processing, information presentation and online work completion. (iii) Career development and information technology serve as tools to motivate and assist employees in achieving maximum work performance.Indicators of improving work performance are (i) Quality of work is indicated by the speed with employees provide population services to the community. (iii) The timing (pomptnees) is delayed when the electricity goes out so that the service is done manually which requires a longer service time compared to using online with computer power supported by the internet. (iii) Initiative (initiative) is shown by every employee who works based on their respective duties and responsibilities so that to complete the work they do not depend on their superiors or leaders. (iv) Capability still needs coaching and training for employees to be of higher quality and faster to provide services. (v) Communication (communication) is shown from the cooperation carried out by employees in completing work and always discussing in dealing with problems that arise.Keywords: career development, job performance, dan information technology

APPLICATION OF THE PROFESSIONALLY ORIENTED TASKS IN LEARNING INFORMATION TECHNOLOGIES AT HIGHER EDUCATION ESTABLISHMENTS

The most often used information technologies in the future professional activity of students of pedagogical universities are computer technologies of text, tabular and graphic data processing, work with multimedia data, as well as computer telecommunications. Mastering the skills of working with these technologies involves the study of office suites that allow you to perform data processing work. The use of information and communication technologies provides ample opportunities for the organization of educational and cognitive activities of students. Therefore, it is important to teach students the effective use of information and communication technologies in their professional activities. As far as much attention is paid not only to the knowledge that graduates must master, but also the formation of their professional skills, the most modern requirements for higher education meets a new type of educational tasks – professionally-oriented tasks.
 The article clarifies the main aspects of the introduction of professionally-oriented tasks in the educational process of pedagogical higher educational institutions. New possibilities and ways of using a package of office programs in the work of a teacher have been investigated. The professionally-oriented tasks have been applied in creating an educational and methodological complex for students in the study of Microsoft Office 2010. An example of step-by-step and sequential system of tasks for obtaining a certain outcome result taking into account the professional orientation of students has been given. New approaches to the introduction of professionally-oriented tasks in teaching the course “Modern information technologies in the educational process” have been developed. They will allow students to apply skillfully the acquired knowledge and skills to work with office suite programs in their studies, flexibly adapt to situations that arise in the professional activities of teachers, independently acquire the necessary knowledge, effectively use them to solve various problems in practice. A set of interrelated methods was used to solve the tasks included in the study: theoretical: analysis and generalization of scientific and pedagogical literature, modeling of the educational process; empirical: observation of the educational process at school during pedagogical practice and at the university. The introduction of information technology into the educational process of higher education allows teachers to qualitatively change the content, methods and organizational forms of learning.

Teaching Research Computer-Aided Design in Art Design Specialty

In art design, the computer can help the designer to calculate, store information, draw and so on. In the design, computers are usually used to calculate, analyze and compare different schemes in order to determine the optimal scheme. All kinds of design information, whether digital, literal or graphic, can be stored in the computer’s internal memory or external memory, and can be quickly retrieved; Designers usually start with a sketch, and the heavy lifting of turning the sketch into a working drawing can be done by the computer. Computer can be used to edit, enlarge, shrink, translate and rotate graphics data processing work. Therefore, it is a teaching method that art design teachers must master to master computer technology to assist design. Based on this, this paper discusses the computer-aided design teaching of art design major.

Research on Hubei Tourism Talent Demand and University Tourism Education Training Model Based on Computer Big Data Mining Technology

The data processing technology in the training and construction of tourism talents can well integrate the complex data, make it more concrete and visualized and effectively reflect the real situation of campus construction. The use of computers can organically link the parents of students with the school. Parents of students can understand the learning situation of the students at any time and carry out education work for the students in time, which is conducive to the improvement of student performance. At the same time, data processing technology still has certain drawbacks in the actual use process and relevant educators need to continuously explore new processing schemes and improve education. The data processing technology of the campus should also fully integrate the actual situation of the school, implement the data processing work seriously and build the training of tourism talents. The scope of tourism talent training is becoming wider and wider and data processing technology plays an important role in it. Therefore, in the process of tourism talent training and construction, it is necessary to accurately grasp the data processing technology and explore more efficient office models. In the actual construction process of tourism talent training, it can be found that there are still many problems, because the construction of tourism talent training sites still lacks certain theoretical guidance and the construction of tourism talent training is blind, which causes the construction of tourism talent training to not give full play. Its theoretical effect.

Edge-based auditing method for data security in resource-constrained Internet of Things

Abstract The explosive generation of Internet of Things (IoT) data calls for cloud service providers (CSP) to further provide more secure and reliable transmission, storage, and management services. This requirement, however, goes against the honest and curious nature of CSP, to the extent that existing methods introduce the third-party audit (TPA) to check data security in the cloud. TPA solves the problem of unreliable CSP but puts a heavy burden on lightweight users because of the sheer amount of the pre-audit data processing work. In this paper, we establish an audit model based on a designed binary tree assisted by edge computing, which provides computing capability for the resource-constrained terminals. The data pre-processing task is offloaded to the edge, which reduces computing load and improves the efficiency of task processing. We propose an improved correlation mechanism between data blocks and nodes on the binary tree so that all nodes on the binary tree can be fully utilized while existing methods use only leaf nodes and thus are required to establish multiple binary trees. Moreover, to improve audit efficiency, the binary tree in the audit process is designed to be self-balanced. In experiments, we compare our methods with the traditional method and experimental results show that the proposed mechanism is more effective to store and manage big data, which is conducive to providing users with more secure IoT services.

VALUASI PERUSAHAAN BERDASARKAN DATA KEUANGAN DAN NON KEUANGAN (STUDI KASUS PADA PT. BERITA BALI MEDIA)

The role of Information and Communication Technology in supporting operational and managerial systems in government agencies today is felt to be increasingly important. With the significant developments in this field, it has led to various fundamental changes in all aspects, where information has become a very valuable and decisive commodity to achieve the success of running a government in a comprehensive sense. The era of globalization, advances in Information and Communication Technology (ICT) and efforts to improve the performance of government agencies have encouraged the transformation of Government towards e-Government. The transformation of the manual governance work process system into an electronic-based work system is carried out through the use of ICT. Utilization of ICT includes activities related to data processing, information management, management systems and electronic work processes. Thus, to realize this transformation, it is necessary to develop e-Government. And now the implementation of e-Government has been implemented in almost all countries so that it has the opportunity to accelerate economic growth, increase people's welfare dramatically, and strengthen good governance practices. While utilization and development related to the use of information and communication technology in e-Development. E-Development has interrelated elements including e-Leadership along with institutional policies and arrangements, information and communication infrastructure, e-Government, e-Society and the supporting ICT industry. Efforts to develop e-Development have been made, although limited to only a few fields. The development of e-Development has received support from related government agencies such as DEPKOMINFO, the Ministry of Research and Technology and the Agency for the Assessment and Application of Technology.

Frequency and pattern of thyroid dysfunction in diabetic and non-diabetic women with primary infertility: experience in a tertiary care hospital in Dhaka, Bangladesh

Background: Thyroid hormones have profound effects on reproduction and pregnancy. A relationship betweenthe thyroid gland and the gonads is suggested by the far more frequent occurrence of thyroid disorders inwomen. Hormonal disorders of female reproductive system are comprised of a number of problems resultingfrom dysfunction of hypo-thalamic-pituitary ovarian axis. These relatively common disorders often lead toinfertility. Concomitant Diabetes and other metabolic abnormalities or endocrinopathy flare up the condition.This study was conducted to find out any difference in thyroid function among diabetic and non-diabeticpatient presenting with primary infertility.
 Methods: In this study total 174 patients were included and allocated into two groups, 87 in each group.Group I were diabetic infertile women and group II were non diabetic infertile women. Thyroid hormoneprofile were done and compared between groups. The data were based on the answers came from interviewsand medical records registered in the OPD follow up, investigation report, treatment paper and notes inhospital file sheet. Data processing work was consisted of registration schedules, editing computerization,preparation of dummy table, analyzing and matching of data.
 Results: No difference was observed in respect of demographic profile. It was observed that, majority ofpatients 73(41.9%) belonged to age 26-33 years, mean age was found 26.3±10.9 years in Group-I and 26.7±11.6years in Group-II. Low T3 was found in 15(17.2%) patients and in 9(10.3%) patients group I and group IIrespectively. Mean FT4 was found 8.25±1.5 pmol/L in group I and 10.57±1.82 pmol/L in group II. Raised TSHwas found in 23(26.4%) patients and 13(14.9%) patients in group I and group II respectively. On interpretationof thyroid function test, 71.8% (125/174) patients had normal finding or in euthyroid status (64.3% in group Iand 79.3% in group II). Present study shows that, frequency of thyroid dysfunction was common in group-Ipatients than group-II (35.6% vs. 20.6%). primary hypothyroidism was predominant abnormality, noted15(17.2%) patients in group I and 9(10.3%) patients in group II patients.
 Conclusion: Hypothyroidism is the most common thyroid dysfunction found in infertile females and it ispredominant in diabetic infertile group. Hence assessment of thyroid function should be considered as animportant component in infertility work up of women.
 Birdem Med J 2020; 10(2): 92-96

Bounded Futures: Growing a Boundary Foreknowledge Infrastructure in Food Security Research

One preferred way of coping with the openness or indeterminacy of future is to elaborate ‘fictional expectations’ that enable action by defining possible outcomes. In this article, I propose to focus on the career of the impact foresight model to analyse how agro-economists combine imaginaries, narratives, data and calculative technologies addressing the long-term future of agriculture. Impact is a partial equilibrium model, which has become increasingly comprehensive. Its modular structure now enables it to interweave scenarios produced by other legitimate institutions, and to run simulations for a number of configurations of climate change and socio-economic evolutions.In this article, foresight models are taken to be material discursive devices. My argument is that their evolutions as technologies and the framing of the future they operate should not be analysed separately. Transforming radical uncertainty into controlled variability – magnitude of change, they explicitly endeavour to ‘bound’ uncertainty. But it is ‘bounded’ in a way that is highly dependent on the knowledge infrastructure upon which the models rely. Quantified modelling also makes it possible for economists to compare rival models and create alignments or negotiate zones of consensus, that is, a certain form of knowledge on the future. In the case under scrutiny, technological choices and data processing work contribute to reinforce a certain point of view – market, production and technology-oriented – on food security. Studying infrastructure and model design therefore allows a better understanding of path dependency and cognitive lock-in effects regarding the way the future is envisaged and narrated.

Pattern of the Spread of Archaeological and Touristic Sites in The City of Nablus and Easily Accessible Analysis Using Geographic Information Systems

The study showed a mechanism to apply methodology to access the spatial distribution of archaeological and tourist landmarks in the city of Nablus, through spatial analysis tools available within an environment, which have the capacity to analyze metadata in order to identify the spatial characteristics through a study of the spatial geographic phenomena, in order to identify the spread of the distribution of the archaeological and tourists sites in the city. The study adopted a descriptive approach analytical work in data processing, and hired some statistical methods, and cartography within an environment of Geographic Information System (GIS); for the most prominent archaeological spatial characteristics of the feature. The study showed that there is a clear disparity in the geographical distribution of archaeological and tourist sites; they distributed the touristic and monumental differently on the city, the results of the spatial analysis showed that the pattern of geographical distribution of archaeological sites, tourism is the distribution of the thin pattern (the distances are not regular), heads to random distribution pattern of spatial analysis showed that the direction of the geographical spread of the places studied, the prevalence of most of the archaeological sites throughout the city, especially the actual average takes into account the actual locations of each archaeological centers, and could be access to all the sites of during the course of the 52.6 km in length and the time it takes to follow this path on a vehicle speed of 30 km/hour is 1:45, and the vehicle speed is 40 km/hour is 1:19, and the speed of the vehicle 50 m/h is 1:03, and the speed of a vehicle 60 km/hour is 53 minutes.

Impact of Surface Roughness and Porosity on Lattice Structures Fabricated by Additive Manufacturing- A Computational Study

Research in this article presents a computational analysis of effects of defects in 2.5D lattice structures fabricated by Additive Manufacturing (AM). Components resulting from AM often suffer from rough surfaces and porosity defects. This complicates their response which must be understood for their service deployment. The core of the methodology used in this research is a workflow for generating various defects such as surface roughness and porosity analogous to those that naturally result from AM-fabricated lattices. Surface roughness is introduced by either discretizing a sinusoidal function or fitting experimental roughness data by Fourier Transforms. Porosity defects are implemented by drawing ellipses with assigned center position, radius and aspect ratio. A plane stress Finite Element Method (FEM) model is used under a uniform displacement boundary condition. Stress-strain and stiffness of the lattices are characterized as a function of the implanted defect. This methodology enables characterization of the effect of: (i) surface roughness, (ii) porosity defect density, (iii) porosity defect size, and (iv) algorithms with which random defects can be generated in simulated specimens. Effectiveness of this workflow also provides an efficient way to generate an adequate data pool for future machine learning and other data processing work.

Integration of a Distributed Hadoop System into the Infrastructure of a Technology Startup Company

The article reviews the problems and methods of combining big data processing work in a fully distributed mode of operation into the infrastructure of a technology startup company. In this direction, the methods of integrating an external distributed Hadoop system (cluster) are described in more detail. These methods are connected to the operating scenarios for infrastructure integration. The problems with traffic and latency are reviewed. A plan of the process of implementation and operation of a distributed Hadoop system is presented with the steps and indicative term. The goal it reaches is a suitable system for operational work on projects in a technology startup company. Then, it is connected to a list of measures in the different stages in a startup company's work. The problems with operational management of the teamwork with flexible methodology and system administration are listed, discussed and solutions proposed.

A Study on Data Processing Services for the Operation of Geo‐Analysis Models in the Open Web Environment

AbstractWith the development of network technology, integrated modeling frameworks based on web services are becoming a key topic with regard to solving complex geographic problems. Currently, large numbers of geo‐analysis models and massive data resources are available on the open web. Accessing, acquiring or invoking individual resources transparently is relatively straightforward; but combining these models and data resources for comprehensive simulations remains challenging due to their heterogeneity and diversity. Data resources are the driving force of model execution and can serve as an intermediate linkage medium for model integration, yet in most cases, the data resources cannot be directly used to drive or link models. Data processing services that can prepare and process data are urgently needed in the web environment to enable the convenient coupling of models and data resources through the web, thus reducing the difficulty of preparing data and avoiding repetitive data processing work. Three types of data processing methods that can achieve mapping, refactoring, and visualization are designed in this article based on the proposed Universal Data eXchange (UDX) model. These methods can be published as data processing services to facilitate the operation of geo‐analysis models through the web environment. The applicability of the proposed data processing services is examined through two cases: the processing service is applied in model integration through the web in the first case, and data preparation with processing services for the Taihu Water Pollution Diffusion Model (TWPDM) is carried out in the second case. The results demonstrate that the proposed processing services can bridge the gap between geo‐analysis models and data resources hosted on networks.

Memorial

To many of us, Roy Lindseth was our geophysical father. He was a scientific visionary, entrepreneur, respected advisor, and kind mentor to many geophysicists, both young and experienced. He encouraged us to do great things while taking care of small details. Roy worked tirelessly for the science, application, and people of exploration geophysics. He advanced many areas of the field through his own work in seismic data processing and inversion as well as advanced seismic acquisition, high-performance computing, and communication of all of this to colleagues and students. He was our SEG president in 1976–1977 and enthusiastically participated in the geophysical world into his 90s.

The Research on the Ice Thickness Detection System Based On Capacitance Sensor

A transmission line remote monitoring system combined with wireless sensor technology was designed, through the single-chip computer control to complete the system data from the collection to send all aspects of data processing work. The icing monitoring system uses capacitive thickness detection sensors to collect data from multiple capacitance values and send the collected data to the control center processor through the serial port. The processor then processes the data and stores it on the SD card. in. Through the single-chip computer control to complete the system data from collection to send all aspects of data processing. The processor finishes the data transmission and connects with the GPRS communication module through the RS232 serial port. The automatic detection of ice thickness using the difference in resistance characteristics of air and ice, it is a new type of object surface ice coating thickness detection method. The utility model can be applied to real-time continuous automatic monitoring engineering application fields of high-pressure transmission lines and fixed towers, buildings or various equipment surfaces, suspension brackets, forest branches, and the like.

Insights towards Condition Monitoring of Fixed Railway Crossings

Evaluation methods and field trial results in terms of geometry and loading of fixed railway crossings are proposed in this paper. Based on these experiences the fundamentals towards condition monitoring are created to allow predictive maintenance actions. For this, a fixed crossing has been instrumented with strain gauges and installed in track with mixed traffic. The strain gauge signals were recorded in irregular intervals to establish a database for the development of model based condition monitoring. A signal processing chain was developed that shall serve as base for continuous monitoring of crossing nose via strain measurements. To this end a data processing work flow is proposed that enables to monitor changes in the combined system of crossing geometry/ wear and bedding state.To quantify the geometry development of the crossing nose (due wear and plastic deformation) a laser based non-contacting measurement of the crossing geometry has been set up. 2D profiles recorded at predefined positions of the crossing enabled a 3D reconstruction of the crossing geometry. During 30 months in service the geometry of the crossing nose and adjacent regions has been recorded in 3 to 6 months intervals. The superposition of the corresponding 2D profiles and the 3D reconstruction allowed a quantitative measurement of the geometry changes during service.

AN INDOOR SPACE PARTITION METHOD AND ITS FINGERPRINT POSITIONING OPTIMIZATION CONSIDERING PEDESTRIAN ACCESSIBILITY

Fingerprint positioning method is generally the first choice in indoor navigation system due to its high accuracy and low cost. The accuracy depends on partition density to the indoor space. The accuracy will be higher with higher grid resolution. But the high grid resolution leads to significantly increasing work of the fingerprint data collection, processing and maintenance. This also might decrease the performance, portability and robustness of the navigation system. Meanwhile, traditional fingerprint positioning method use equational grid to partition the indoor space. While used for pedestrian navigation, sometimes a person can be located at the area where he or she cannot access. This paper studied these two issues, proposed a new indoor space partition method considering pedestrian accessibility, which can increase the accuracy of pedestrian position, and decrease the volume of the fingerprint data. Based on this proposed partition method, an optimized algorithm for fingerprint position was also designed. A across linker structure was used for fingerprint point index and matching. Experiment based on the proposed method and algorithm showed that the workload of fingerprint collection and maintenance were effectively decreased, and poisoning efficiency and accuracy was effectively increased