Intelligent Information Management

Journal Information
ISSN / EISSN : 21605912 / 21605920
Current Publisher: Scientific Research Publishing, Inc, (10.4236)
Total articles ≅ 327
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Latest articles in this journal

Benjamin Requardt, Sebastian Wende-Von Berg, Martin Braun
Intelligent Information Management, Volume 12, pp 43-62; doi:10.4236/iim.2020.121004

Abstract:Due to the increasing share of renewable energy, new requirements are placed on control room software. Such software is often exclusive to the supplier, but other suppliers could offer new and better methods. For security reasons, external applications often have no direct data access to control room software. Such software can provide information about the power grid via a periodic file transfer in CIM (Common Information Model) format. These files are often very large, containing complete records, delivering information not always relevant to the external applications. Extracting the relevant information required by external applications can be time-consuming, thus presenting a problem for time-critical applications. This paper presents a method allowing different applications to efficiently access the relevant data from the massive data stream contained in the CIM files. This method has been tested with a distribution system operator and clearly increases performance, allowing different applications to access the relevant data.
Dongfeng Li, Xiao Huang, Li Dongfeng, Huang Xiao
Intelligent Information Management, Volume 12, pp 36-42; doi:10.4236/iim.2020.121003

Abstract:Since a complete DNA chain contains a large data (usually billions of nucleotides), it’s challenging to figure out the function of each sequence segment. Several powerful predictive models for the function of DNA sequence, including, CNN (convolutional neural network), RNN (recurrent neural network), and LSTM [1] (long short-term memory) have been proposed. However, all of them have some flaws. For example, the RNN can hardly have long-term memory. Here, we build on one of these models, DanQ, which uses CNN and LSTM together. We extend DanQ by developing an improved DanQ model and applying it to predict the function of DNA sequence more efficiently. In the most primitive DanQ model, the regulatory grammar is learned by the regulatory motifs captured by the convolution layer and the long-term dependencies between the motifs captured by the recurrent layer, so as to increase the prediction accuracy. Through the testing of some models, DanQ has greatly improved in some indicators. For the regulatory markers, DanQ achieves improvements above 50% of the area under the curve, via the measurement of the precision-recall curve.
Saad Aldoihi, Omar Hammami, Aldoihi Saad, Hammami Omar
Intelligent Information Management, Volume 12, pp 27-35; doi:10.4236/iim.2020.121002

Abstract:Usability is a vital characteristic in operating medical machines, especially radiological machines, such as computed tomography (CT) scans and X-rays. The more the body is exposed to it, the greater the negative effect has. If usability is crucial to a specific industry, it is more crucial in the medical health industry due to its tremendous effect on safety and the patient’s health. This study examines the usability of CT scans based on 14 attributes from hospitals across Saudi Arabia. The study revealed that usability consistency, visibility, minimalism, memory, and flexibility have the most usability catastrophic complaints, where the overall catastrophic rate exceeds 20%. Creating a shortcut for frequently used operations is critically important, because it has a fundamental effect in minimizing physical and mental exertion.
Binbin Sang, Xiaoyan Zhang, Sang Binbin, Zhang Xiaoyan
Intelligent Information Management, Volume 12, pp 1-26; doi:10.4236/iim.2020.121001

Abstract:For the moment, the representative and hot research is decision-theoretic rough set (DTRS) which provides a new viewpoint to deal with decision-making problems under risk and uncertainty, and has been applied in many fields. Based on rough set theory, Yao proposed the three-way decision theory which is a prolongation of the classical two-way decision approach. This paper investigates the probabilistic DTRS in the framework of intuitionistic fuzzy information system (IFIS). Firstly, based on IFIS, this paper constructs fuzzy approximate spaces and intuitionistic fuzzy (IF) approximate spaces by defining fuzzy equivalence relation and IF equivalence relation, respectively. And the fuzzy probabilistic spaces and IF probabilistic spaces are based on fuzzy approximate spaces and IF approximate spaces, respectively. Thus, the fuzzy probabilistic approximate spaces and the IF probabilistic approximate spaces are constructed, respectively. Then, based on the three-way decision theory, this paper structures DTRS approach model on fuzzy probabilistic approximate spaces and IF probabilistic approximate spaces, respectively. So, the fuzzy decision-theoretic rough set (FDTRS) model and the intuitionistic fuzzy decision-theoretic rough set (IFDTRS) model are constructed on fuzzy probabilistic approximate spaces and IF probabilistic approximate spaces, respectively. Finally, based on the above DTRS model, some illustrative examples about the risk investment of projects are introduced to make decision analysis. Furthermore, the effectiveness of this method is verified.
Zainab M. Sedahmed, Noureldien A. Noureldien
Intelligent Information Management, Volume 11, pp 61-76; doi:10.4236/iim.2019.114006

Hisako Orimoto, Akira Ikuta, Kouji Hasegawa, Orimoto Hisako, Ikuta Akira, Hasegawa Kouji
Intelligent Information Management, Volume 11, pp 87-101; doi:10.4236/iim.2019.116008

Abstract:In this study, a modified particle filter considering non-Gaussian properties of noises is proposed in a form applicable to real situation in sound environment system where the observation data are contaminated by the external noise (i.e., background noise) of arbitrary probability distribution and measured in decibel scale. More specifically, a nonlinear observation model in decibel scale with a quantized level is first paid considered by introducing the additive property of energy variables (i.e., sound intensity) in sound environment system. Next, a wide-sense particle filter of an expansion expression type is derived in a form suitable for the nonlinear observation characteristics and the signal processing considering higher-order correlation information between the specific signal and observation. Furthermore, the effectiveness of the proposed theory is confirmed by applying it to the observed data measured in real sound environment.
Qianqian Si, Jiayin Liu, Si Qianqian, Liu Jiayin
Intelligent Information Management, Volume 11, pp 77-86; doi:10.4236/iim.2019.115007

Abstract:This paper provides references for the space service of public libraries in China. 51 public libraries in East China were investigated in terms of space type, space facilities and space service reconstruction; the current situation of space service was analyzed and some problems were revealed. Based on the investigation, the characteristics of public libraries’ space service in East China are summarized from the perspective of space type, space service concept and space service mode. And the problems in the aspects of new space service level, space service facility construction and space service evaluation mechanism are pointed out. Through the analysis, space service strategies of public libraries in China are proposed: libraries’ overall quality should be strengthened; space service based on information technology should be promoted; users’ needs should be respected and evaluation mechanism should be developed.
Xin Mai, Zhifeng Ye, Zhe Wei, Changhua Chen, Haili Ding, Ran Wang
Intelligent Information Management, Volume 11, pp 33-37; doi:10.4236/iim.2019.112003

Mai Xin, Zhifeng Ye, Changhua Chen, Yuhan Cai, Haili Ding, Ran Wang, Shiqian Wang
Intelligent Information Management, Volume 11, pp 38-41; doi:10.4236/iim.2019.112004

Mohammad Mustafa, Afag Salah Aldeen, Mohammed E. Zidan, Rihab E. Ahmed, Yasir Eltigani
Intelligent Information Management, Volume 11, pp 1-23; doi:10.4236/iim.2019.111001

Abstract:Stemming is used to produce stem or root of words. The process is vital to different research fields such as text mining, sentiment analysis, and text categorization, etc. Several techniques have been proposed to stemming Arabic text and among them, Khoja and light-10 stemmers are the most widely used. In this paper, we propose and evaluate two different stemming techniques to Arabic that are based on light stemming techniques. The new stemmers are compared to best reported light stemmer, which is light-10. Results and experiments, which were conducted using standard collections, reveal that The proposed stemmers yield 5.13% and 13.1% improvement in retrieval performance over light 10 with 0.369 average precision and 0.397, respectively and the improvement is statistically significant.