Data Mining and its Application in Animal Husbandry Management System

2014 ◽  
Vol 926-930 ◽  
pp. 2525-2528
Author(s):  
Hui Wang ◽  
Xiao Ge Li ◽  
Tai Yu Liu ◽  
Qian Wu
Keyword(s):  
Data Mining ◽  
Data Analysis ◽  
Large Scale ◽  
New Technologies ◽  
Rapid Development ◽  
Animal Husbandry ◽  
Management Tools ◽  
Management Level ◽  
The Government

Data will be an important resource, including Animal Husbandry, including many of the industry, and even determine the success or failure of an industry. Animal Husbandry management is the behavior of large amount of data, improve the management level of all walks of life requires a lot of long-term data analysis and preparation. The rapid development of China's Animal Husbandry ,but the level of information to stay in the primary stage, the further development of Animal Husbandry, the information necessary to overcome this problem. In this paper, data mining, data warehouse and other new technologies in Animal Husbandry management, large-scale farming, and the government has brought the latest regional regulatory and other management tools and data analysis for the industry to promote mining.

Financial and Economic Support of Innovation Processes in the Russian Fuel and Energy Complex

2019 ◽  
Vol 12 (3) ◽  
pp. 77-85
Author(s):  
L. D. Kapranova ◽  
T. V. Pogodina
Keyword(s):  
Oil Recovery ◽  
Large Scale ◽  
Oil And Gas ◽  
New Technologies ◽  
Innovative Development ◽  
Oil Reserves ◽  
Energy Complex ◽  
Innovation Activities ◽  
Substantial Investment ◽  
The Government

The subject of the research is the current state of the fuel and energy complex (FEC) that ensures generation of a significant part of the budget and the innovative development of the economy.The purpose of the research was to establish priority directions for the development of the FEC sectors based on a comprehensive analysis of their innovative and investment activities. The dynamics of investment in the fuel and energy sector are considered. It is noted that large-scale modernization of the fuel and energy complex requires substantial investment and support from the government. The results of the government programs of corporate innovative development are analyzed. The results of the research identified innovative development priorities in the power, oil, gas and coal sectors of the fuel and energy complex. The most promising areas of innovative development in the oil and gas sector are the technologies of enhanced oil recovery; the development of hard-to-recover oil reserves; the production of liquefied natural gas and its transportation. In the power sector, the prospective areas are activities aimed at improving the performance reliability of the national energy systems and the introduction of digital technologies. Based on the research findings, it is concluded that the innovation activities in the fuel and energy complex primarily include the development of new technologies, modernization of the FEC technical base; adoption of state-of-the-art methods of coal mining and oil recovery; creating favorable economic conditions for industrial extraction of hard-to-recover reserves; transition to carbon-free fuel sources and energy carriers that can reduce energy consumption and cost as well as reducing the negative FEC impact on the environment.

Long-term Planning: Its Importance in the Effective Administration of Social Change

1954 ◽  
Vol 13 (2) ◽  
pp. 5-10
Author(s):  
Annette Rosenstiel
Keyword(s):  
Indigenous Peoples ◽  
Large Scale ◽  
Technology Research ◽  
The People ◽  
Effective Administration ◽  
Cultural Pattern ◽  
Modern Knowledge ◽  
Catch Up ◽  
The Government

In its program for underdeveloped areas, the United Nations faces on a large scale the need to effect concrete adaptations of the habits of indigenous peoples to modern knowledge and technology. Research to determine the best methods of procedure has disclosed that, in certain areas, previous attempts on the part of administrators to introduce innovations and make changes which could not be integrated into the cultural pattern of the indigenous people proved unsatisfactory to them and costly to the government concerned. In most cases, changes in diet, crops and habits of work—let alone the introduction of industrial disciplines—may not be pressed down like a cookie-cutter on a going society. The administration of change often proves a disconcertingly stubborn affair, exasperating both to the administrator and to the people whom he seeks to catch up into the ways of "progress."

scholarly journals Text Analysis and Visualization Research on the Hetu Dangse During the Qing Dynasty of China

2021 ◽  
Vol 40 (3) ◽  
Author(s):  
Zhiyu Wang ◽  
Jingyu Wu ◽  
Guang Yu ◽  
Zhiping Song
Keyword(s):  
Data Analysis ◽  
Qing Dynasty ◽  
Text Analysis ◽  
Large Scale ◽  
Liaoning Province ◽  
Support Vector ◽  
Historical Documents ◽  
The Qing Dynasty ◽  
Historical Materials ◽  
The Government

In traditional historical research, interpreting historical documents subjectively and manually causes problems such as one-sided understanding, selective analysis, and one-way knowledge connection. In this study, we aim to use machine learning to automatically analyze and explore historical documents from a text analysis and visualization perspective. This technology solves the problem of large-scale historical data analysis that is difficult for humans to read and intuitively understand. In this study, we use the historical documents of the Qing Dynasty Hetu Dangse,preserved in the Archives of Liaoning Province, as data analysis samples. China’s Hetu Dangse is the largest Qing Dynasty thematic archive with Manchu and Chinese characters in the world. Through word frequency analysis, correlation analysis, co-word clustering, word2vec model, and SVM (Support Vector Machines) algorithms, we visualize historical documents, reveal the relationships between functions of the government departments in the Shengjing area of the Qing Dynasty, achieve the automatic classification of historical archives, improve the efficient use of historical materials as well as build connections between historical knowledge. Through this, archivists can be guided practically in historical materials’ management and compilation.

An RFID and sensor technology-based warehouse center: assessment of new model on a superstore in China

2019 ◽  
Vol 39 (1) ◽  
pp. 86-100 ◽  
Author(s):  
Hao Liu ◽  
Zhong Yao ◽  
Li Zeng ◽  
Jing Luan
Keyword(s):  
Radio Frequency Identification ◽  
Operations Management ◽  
Large Scale ◽  
Rapid Development ◽  
Management Mode ◽  
Sensor Technology ◽  
Warehouse Management ◽  
Content Type ◽  
Management Level ◽  
Existing Problems

Purpose Large supermarkets, chain stores and enterprises with large-scale warehousing put forward higher standards and requirements for the automation and informatization of warehouses. As one of the fast-growing commercial supermarkets in China, the traditional warehouse management mode has restricted the rapid development of Yonghui Superstores to a certain extent. The purpose of this paper is to find out how the existing warehouse mode can be changed and to solve the existing problems of warehouse management of Yonghui Superstores. Design/methodology/approach This research puts forward construction of warehouse center, which is based on radio frequency identification (RFID) and sensor technology, then designs the model for receiving, storage, operations management, distribution and outbound to solve the existing problems of warehouse management of Yonghui Superstores. Findings What technologies should be adopted to meet storage requirements? How to monitor the storage environment in real time and improve the operation and management level of the warehouse? This study found that building a warehouse center based on RFID and sensor technology was a good solution. Research limitations/implications The Yonghui Superstores warehouse center model lacks corresponding simulation experiments, and the investment and income are difficult to estimate quantitatively. Practical implications This paper has designed and discussed the warehouse center model based on RFID and sensor technology, which provides a few references for the actual investment and construction of a warehouse center. In addition, the warehouse center model has strong generalized applicability and could be widely used in various enterprises. Social implications The warehouse center could improve the warehouse management level of Yonghui Superstores and change the traditional warehouse management mode. To some extent, it improves the enterprise flexibility of the market, which will be of great significance to improve business efficiency and enhance brand image and competitiveness. Originality/value This study takes Yonghui Superstores as a case to analyze the problems of warehousing management in detail and then designs a warehouse center based on RFID and sensor technology. The study discusses the location and distribution, software and hardware selection, benefits evaluation, significances and return on investment, which makes the warehouse center model versatile, technically feasible and economically applicable.

scholarly journals UTILIZING TECHNOLOGY NETWORKS TO SUPPORT SOCIAL NETWORKS FOR PEOPLE AGING WITH DISABILITY

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S758-S759
Author(s):  
Elena T Remillard ◽  
Wendy Rogers ◽  
Sarah Ruiz
Keyword(s):  
Older Adults ◽  
Successful Aging ◽  
Independent Living ◽  
Large Scale ◽  
Tai Chi ◽  
New Technologies ◽  
Great Promise ◽  
Ongoing Research ◽  
Engineering Research

Abstract A growing number of new smart, internet-enabled technologies from smart phone applications, to teleconferencing, to the Internet of Things (IoT), provide great promise and potential to support successful aging-in-place for people with long-term disabilities. This symposium highlights ongoing research at the TechSAge Rehabilitation Engineering Research Center to identify technology needs and develop/adapt new technologies to promote independence, health, and participation of this population. To understand user needs, Harris et al. will present findings from a large-scale interview study with older adults with long-term vision and mobility disabilities (N=120) that explored specific task-based challenges with community activities (e.g., going to entertainment events, volunteering) as well as solutions and strategies to overcome them. Koon et al. will present findings on perceived facilitators and barriers to using digital assistants (e.g., Amazon Alexa) to facilitate a variety of everyday tasks at home, from shopping to communicating with others, among adults aging with mobility disabilities. Levy et al. will discuss findings from research driving the creation of augmented reality tools that can enable individuals to experience how IoT devices, such as smart thermostats and lightbulbs, could be used within the context of one’s own abilities and home. Mitzner et al., will describe the development of a Tele Tai Chi intervention for older adults with long-term mobility disabilities that employs teleconferencing software to translate an in-person, evidence-based class to an online, social experience. TechSAge Program Officer, Sarah Ruiz (National Institute on Disability, Independent Living, and Rehabilitation Research), will serve as the discussant.

scholarly journals Designing Incentive Mechanisms for Mobile Crowdsensing with Intermediaries

2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Yatong Chen ◽  
Huangxun Chen ◽  
Shuo Yang ◽  
Xiaofeng Gao ◽  
Yunhe Guo ◽  
...  
Keyword(s):  
Network Model ◽  
Large Scale ◽  
Incentive Compatibility ◽  
Rapid Development ◽  
Sensor Technology ◽  
Incentive Mechanisms ◽  
Mobile Crowdsensing ◽  
Network Applications ◽  
Sensing Platform

In the past decade, with the rapid development of wireless communication and sensor technology, ubiquitous smartphones equipped with increasingly rich sensors have more powerful computing and sensing abilities. Thus, mobile crowdsensing has received extensive attentions from both industry and academia. Recently, plenty of mobile crowdsensing applications come forth, such as indoor positioning, environment monitoring, and transportation. However, most existing mobile crowdsensing systems lack vast user bases and thus urgently need appropriate incentive mechanisms to attract mobile users to guarantee the service quality. In this paper, we propose to incorporate sensing platform and social network applications, which already have large user bases to build a three-layer network model. Thus, we can publicize the sensing platform promptly in large scale and provide long-term guarantee of data sources. Based on a three-layer network model, we design incentive mechanisms for both intermediaries and the crowdsensing platform and provide a solution to cope with the problem of user overlapping among intermediaries. We theoretically prove the properties of our proposed incentive mechanisms, including incentive compatibility, individual rationality, and efficiency. Furthermore, we evaluate our incentive mechanisms by extensive simulations. Evaluation results validate the effectiveness and efficiency of our proposed mechanisms.

Kenya and China's labour relations: infrastructural development for whom, by whom?

Africa ◽  
2019 ◽  
Vol 89 (4) ◽  
pp. 680-695 ◽  
Author(s):  
Anita Plummer
Keyword(s):  
Development Strategy ◽  
Large Scale ◽  
Youth Unemployment ◽  
Transport Sector ◽  
Employment Practices ◽  
Labour Relations ◽  
Construction Firms ◽  
Vision 2030 ◽  
The Government

AbstractThe Kenyan government's long-term development strategy, Vision 2030, has emphasized infrastructural investments, which it believes will lead to sustained economic growth. The government has appealed to China to fund large-scale projects in the transport sector, and as a consequence of this, construction firms from China have emerged as significant employers in the country. While the Kenyan government contends with the ongoing burden of youth unemployment, it must also reconcile the ambiguities of China's role in Africa and its implications for the labour market. This article examines two Chinese-built infrastructure projects in Kenya and their intersection with several issues involving migrant labour and local rumours of Chinese prisoners, as well as the state's vision for industrialization and youth employment. Kenyans utilize both online and interpersonal channels of discourse to critique present-day employment practices in the transport sector, and it is argued that these counter-channels of discourse represent a particular articulation of knowledge used by Kenyans to construct meaning and interpret ambiguous situations. Through a theoretical analysis of rumour, this article illustrates how ordinary Kenyans are pooling their intellectual resources to understand Sino-Kenyan labour relations in the absence of transparency and participatory government processes in the infrastructure sector.

Modern technology and organisational communication implications for management

1983 ◽  
Vol 7 (4-5) ◽  
pp. 169-183 ◽  
Author(s):  
E. More ◽  
R.K. Laird
Keyword(s):  
Large Scale ◽  
New Technologies ◽  
Work Force ◽  
Modern Technology ◽  
Management Level ◽  
Organisational Communication ◽  
Important Concern ◽  
The Social ◽  
Special Area ◽  
Social Upheaval

In the present era of rapid technological change, emotion will often rule reason in debates within organisations concern ing the introduction, usage and effects of modem computer and related technologies. Much literature in recent times has focused on the implications of modern technology for those organisational employees at levels other than management. There is no doubt that in an information-based economy, there is potential for organisational upheaval with the introduction and diffusion of new technologies. However, this will also significantly affect the managerial sector of the work force. The need to understand the implications of such technology in organisations, in terms of managing these innovations for those working at a management level, is an important concern. Without understanding and competent management the social upheaval many forecast as following in the wake of technologi cal innovation must be more likely to occur. This is an aspect of concern for business and management education, and needs to be emphasised now. In other words, there needs to be a balance of concern for the implications of modern technology, not only for the 'workers', but also for 'management'. The central aim of this paper is to briefly outline some technologi cal innovations relevant to large-scale 20th century organisa tions, and to assess the implications of some of these for managers. The authors place emphasis on one special area—that of organisational communication. It is intended that some outline be given of significant present day innovations in technologies which may affect organisational communication, followed by a discussion of some of the implications for management.

scholarly journals Agricultural Crisis and Farmers Suicides in India

2019 ◽  
Vol 8 (11) ◽  
pp. 1576-1580 ◽  
Keyword(s):  
Agricultural Sector ◽  
New Technologies ◽  
Water Levels ◽  
Agricultural Policies ◽  
Review Of The Literature ◽  
Short Term ◽  
Rural People ◽  
Private Money ◽  
The Government

Agricultural sector is the main income for the rural people in India. It plays a significant role in their life. In India, small and marginal farmers account for 70%, according to the 2011 census of the Government of India. These small and marginal farmers took credit from banks and private money lenders. The non-repayment of credit led to an agricultural crisis and farmers’ suicide. This study focused on the reasons that caused such a disaster. The study rests on a review of the literature which was extracted from journals, reports, and newspapers from 2004 to 2019. The review identified the following reasons for the agricultural crisis and farmer’s suicides- poverty, indebtedness, crop failures, distress, lack of awareness on new technologies, inadequate debt, marketing of produce, the high interest of non-institutional credit, and depletion of water levels. The article concluded noting that -the government had to shift its focus from industries to agriculture and shift its agricultural policies from short-term to long- term ones.

scholarly journals PENGELOMPOKAN PERSENTASE BUTA HURUF UMUR 15-44 MENURUT PROVINSI MENGGUNAKAN ALGORITMA K-MEANS

2020 ◽  
Vol 7 (3) ◽  
pp. 230
Author(s):  
Saifullah Saifullah ◽  
Nani Hidayati
Keyword(s):  
Data Mining ◽  
Human Resources ◽  
Data Clustering ◽  
Large Scale ◽  
Market Basket ◽  
Large Scale Data ◽  
The Government ◽  
Large Scale Data Processing ◽  
Scale Data

<p><em>Data Mining is a method that is often needed in large-scale data processing, so data mining has important access to the fields of life including industry, finance, weather, science and technology. In data mining techniques there are methods that can be used, namely classification, clustering, regression, variable selection, and market basket analysis. Illiteracy is one of the factors that hinder the quality of human resources. One of the basic things that must be fulfilled to improve the quality of human resources is the eradication of illiteracy among the community. The purpose of this study is to determine the clustering of illiterate communities based on provinces in Indonesia. The results of the study are illiterate data clustering according to the age proportion of 15-44 namely 1 high group node, low group has 27 nodes, and medium group 6 nodes. The results of this study become input for the government to determine illiteracy eradication policies in Indonesia based on provinces.</em></p><p><strong>Kata Kunci</strong>: <em>Illiterate</em><em>, Data mining, K-Means Clustering</em></p><p><em>Data Mining termasuk metode yang sering dibutuhkan dalam pengolahan data berskala besar, maka data mining mempunyai akses penting pada bidang kehidupan diantaranya yaitu bidang industri, bidang keuangan, cuaca, ilmu dan teknologi. Pada teknik data mining terdapat metode-metode yang dapat digunakan yaitu klasifikasi, clustering, regresi, seleksi variabel, dan market basket analisis. Buta huruf merupakan salah satu faktor yang menghambat kualitas sumber daya manusia. Salah satu hal mendasar yang harus dipenuhi untuk meningkatkan kualitas sumber daya manusia adalah pemberantasan buta huruf di kalangan masyarakat</em><em> </em><em>Adapun tujuan penelitian ini adalah menetukan clustering masyarakat buta huruf</em><em> berdasarkan propinsi di Indonesia</em><em>.</em><em> </em><em>Hasil dari penelitian adalah data clustering buta huruf menurut propisi umur 15-44 yaitu</em><em> 1 node</em><em> kelompok tinggi</em><em>,  kelompok rendah memiliki 27 node</em><em>, dan kelompok  sedang  6 node. Ha</em><em>sil penelitian ini menjadi bahan masukan kepada pemerintah untuk menentukan kebijakan</em><em> </em><em>pemberantasan buta huruf di Indonesia berdasarakn propinsi</em><em>.</em></p><p><strong>Kata Kunci</strong>: Buta Huruf, Data mining, <em>K-Means Clustering</em><em></em></p>

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