Ke Ma

Chongqing University

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Trends

Author Order

Document Type

Co-Authors

Changxin Song

Hubei Urban Construction Vocational and Technological College

Geng Yang

Nanjing University of Posts and Telecommunications

He Weng

Hohai University

Jianming Lian

Oak Ridge National Laboratory

Yang Lu

Lancaster University

Hao Zhou

Minzu University of China

Yu-Cheng Luo

Nanjing University of Posts and Telecommunications

Rui Ma

Beijing Institute of Technology

Yue Liu

Beijing Institute of Technology

Minghui Zhu

Pennsylvania State University

Cooperative Institutions

Nanjing University of Posts and Telecommunications

Chinese Academy of Sciences

Beijing Institute of Technology

Tongji University

Hohai University

University of Chinese Academy of Sciences

Xi'an University of Architecture and Technology

Zhejiang University

Xi'an Jiaotong University

Tianjin University

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

Research on Hypertension Prediction and Diagnosis Based on Big Data

Changxin Song Ke Ma

With the rapid development of network information technology and big data mining technology, data collection, processing and analysis in different industries have begun to use big data Association rule algorithm, decision tree algorithm, etc, perform processing and display of various data resources. Hypertension, as a common cardiovascular disease in society, should be diagnosed and predicted in time according to the height, weight, smoking, drinking, kidney disease, family history of different individuals, physical exercise and eating habits and other data information, expand the sick population systolic blood pressure, diastolic blood pressure testing, and to predict the future development of hypertension disease, but the traditional data collection scheme through the way of inquiry, obviously, the accuracy of hypertension prediction cannot be guaranteed. Based on this, this paper uses the improved Big Data algorithm to carry out the collection, cleaning, transformation and modeling analysis of various characteristic parameters of hypertension diseases, and obtains the grades of the influence of different data indexes on hypertension, and put forward the coping strategies of hypertension disease prediction and prevention.

10.1145/3441369.3441376

Cite

Citations (0)

Interuniversity task-based cross-disciplinary collaborative learning model a case study of design and implementation of machine translation system

International Conference on Educational and Information Technology (2010)

Yan Ba Ke Ma

This paper attempts to construct an interuniversity task-based collaborative learning model for students from different disciplines - applied mathematics majors from Xi'an University of Architecture & Technology and English majors from Shaanxi Normal University on the theoretical basis of Constructivism and Social Constructivism. The learning model presented here is based on the combination of traditional practice teaching and autonomous learning, complementation of local research and distance collaboration and the use of Internet. In needs for the machine translation system of English proverbs into Chinese, students involved constructed the English proverb corpus and designed and implemented its Web-based machine translation system. Thus, those students' team spirit and cross-disciplinary all round capabilities of practice and innovation were enhanced, which offers the practice teaching with the scientific grounds.

Constructivism (international relations)

Discipline

College English

10.1109/iceit.2010.5607576

Cite

Citations (0)

An analysis of the combined wavelet-GM (1,1) model for network traffic forecasting

IEEE International Conference on Network Infrastructure and Digital Content (2009)

Yan Bai Ke Ma MA Guang-si

Based on grey theory, a combined wavelet-GM (1,1) forecasting model is proposed. The random properties of some non-stationary time series can be reduced by wavelet decomposition into many series according to different scales. Decomposed time series are predicted with GM (1,1) model to obtain forecasted results of the original time series. Experiments on network traffic show that the combined model is more effective than the common grey model. The application of the proposed combined model to network traffic forecasting may offer scientific rationale to Internet routing decision, LAN virus detection and illegal invasion prevention.

10.1109/icnidc.2009.5360794

Cite

Citations (3)

Research and implementation of distributed storage system based on big data

Ke Ma

According to the security policy research in distributed data and information storage, considered from the data access patterns, this paper designs a system with new storage model and query mechanism for distributed platform and big data. This system can provide data sharing integrity check, while giving a hot backup solution, to improve the safety and maintainability of the cluster, and take a viable option for data migration and recovery when the cluster fails.

Maintainability

Distributed data store

Distributed database

Data Security

Data integrity

Data Sharing

Distributed File System

Data access

Storage model

10.1109/icbda.2016.7509817

Cite

Citations (3)

Design of Performance Management in Network Management System

Journal of Qinghai Normal University (2007)

Ke Ma

The thesis discusses system structure and performance index of net work performance management.It raised a design idea of Network Performance Mana gement Module

Network monitoring

Source

Cite

Citations (0)

Design of Intrusion Detection System Based on Data Mining Algorithm

Changxin Song Ke Ma

Internet technology has developed rapidly and both software system and hardware equipment have improved greatly in recent years. However, Internet brings people not only convenience but also great potential threats. Facts show that potential safety hazards exist from the emergence of internet. As a kind of effective information security safeguard measure, intrusion detection makes up for the defects of traditional security protection techniques. As a kind of effective data analysis method, data mining is introduced into intrusion detection systems. This paper puts forward the idea of applying data mining technology to intrusion detection systems and then designs data preprocessing module, association analysis module and cluster module respectively.

Data pre-processing

Data Security

Safeguard

10.1109/icsps.2009.202

Cite

Citations (16)

Collaboration inter-organisationnelle pour l'optimisation des chaînes d'approvisionnement en textile

Ke Ma

Dans cette recherche doctorale, une enquete approfondie et une revue de la litterature concernant la collaboration de la chaine d'approvisionnement ont ete menees. Plusieurs paradigmes et strategies emergents de collaboration dans la chaine d'approvisionnement ont ete identifies, ce qui a fourni une base theorique et une direction de recherche pour mes recherches ulterieures. En consequence, trois modeles innovants de chaine d'approvisionnement avec des strategies d'optimisation correspondantes ont ete developpes: (1) un nouveau mecanisme de partage des ressources pour optimiser la fabrication des vetements dans la chaine d'approvisionnement textile; (2) un systeme central de traitement des commandes pour l'optimisation de la chaine d'approvisionnement textile axee sur la demande, et (3) une plate-forme collaborative de services cloud pour l'optimisation de la chaine d'approvisionnement textile da la fabrication a la commande. Strategies de collaboration identifiees pour la chaine d'approvisionnement, a savoir, le partage des ressources, le partage de l'information, la prise de decision conjointe, le partage des benefices, ont ete utilises pour developper les trois modeles de collaboration. Des heuristiques d'optimisation ont egalement ete concues pour differents objectifs dans trois modeles respectivement. Les trois strategies collaboratives de la chaine d'approvisionnement proposees ont ete realisees dans trois modeles de simulation en utilisant la technologie de simulation a evenements discrets ou la technologie de simulation multi-agents. Plusieurs experiences ont ete menees pour demontrer les avantages d'une telle structure collaborative dans differentes conditions.

Source

Cite

Citations (0)

Analysis and Construction of China ‘Inter-net +’ Business Model Based on Big Data

Frontiers in Art Research (2020)

Ke Ma

With the continuous development of science and technology, big data has become an important feature of the rapid development of today's Internet economy. Internet + is a new network technology development model proposed with the continuous development of Internet technology, which has a great impact on China's economic society and economic development. Under the premise of continuous integration of Internet + mode and various industries in China, online sales of artworks based on big data have been quietly launched. However, in the process of development, it is inevitable to have various problems that restrict development, such as the combination of online and offline, the trust between customers and artists, the collection, sales and transportation of artworks and so on. Therefore, making full use of big data technology to further optimize and upgrade the art Internet + business model, so as to adapt to the marketing needs of art under the new situation, and promote the healthy and orderly development of the overall art sales market, thus becomes an important subject to be solved urgently.

10.25236/far.2020.020914

Cite

Citations (0)

Identification and addressing of internet of things based on distributed ID

International Journal of Embedded Systems (2020)

Rui Ma Yue Liu Ke Ma Xu An Wang

Identification and addressing the entity which accesses the internet through the wireless network with various short distance transmission protocols is a key issue. To solve the problem, by combining with the existing identification and addressing technology of the internet and the IOT, this paper proposes a method based on distributed ID. This method can be divided into two stages. It first designs the structure of distributed ID. Using the distributed address allocation algorithm, it implements the automatic allocation of the distributed ID as well as the distributed ID resolution among the global IOT. After that, an addressing scheme is designed to meet demands of the IOT addressing. It first defines the structure of addressing and then implements the routing addressing algorithm which combines the cluster-tree algorithm with the ad hoc on-demand distance vector routing algorithm. This scheme could improve the routing efficiency as well as achieve lower cost, lower energy consumption and higher reliability of the addressing. By the simulation on NS-2 platform, the experimental results highlight the feasibility and effectiveness of the proposed method from three aspects: the correctness of identification allocation, the effectiveness of addressing scheme, and the stability of data transmission.

Identification

Distance-vector routing protocol

10.1504/ijes.2020.105929

Cite

Citations (1)

Embedded Network Management System Design Based on WEB

Ke Ma Changxin Song

This paper proposes and realizes the structure and realization method of an embedded network management system based on Web through intensive study and discussion of embedded network management technology based on Web. This structure and method expand the range of network management, apply network management to embedded devices, study and realize rich management functions based on limited embedded devices and sum up key techniques and strategies in realization on the whole and therefore this system has certain engineering value and theoretical value.

Realization (probability)

FCAPS

10.1109/icsps.2009.204

Cite

Citations (1)