Recent Advances in Computer Science and Communications - Volume 14, Issue 8, 2021

To explore the effective improvement of business decision-making, this paper takes consumers as a utility factor in business decision-making. Under the assumption of maximizing the interests of consumers and manager, it describes the problems and establishes Stackelberg game model, which uses the heuristic algorithm of sensitivity to solve the business decision-making model of two charging items with the number of consum Read More

With the advancement of quality education reform, the advent of the era of big data and cloud computing has given birth to the innovative teaching mode of "flipping the classroom" in Internet technology. It subverts the traditional teaching mode with the classroom teaching system as the core and is widely used in the classroom teaching of psychology. Introduction: This article, mainly through the literature research me Read More

Background: Nowadays, speech recognition has become one of the important technologies for human-computer interaction. Speech recognition is essentially a process of speech training and pattern recognition, which makes feature extraction technology particularly essential. The quality of feature extraction is directly related to the accuracy of speech recognition. Dynamic feature parameters can effectively improve the ac Read More

Nowadays, Internet has become essential for living and running businesses smoothly; it has made things simpler like online transaction, online shopping, sharing images, videos, audios, messages on social media, uploading some important information on Google drives, etc. So the very first requirement is to secure and protect digital contents from any unauthorized access. Reversible Data Hiding (RDH) is one of the ways to Read More

Aim: This paper presents a new and upgraded wavelet-based multi-focus image fusion technique using average method noise diffusion (AMND). Objective: This paper aims to enhance visual appearance, remove blurring in the final fused image and make objects (fine edges) clearly visible. Methods: This method extends the standard wavelet-based image fusion technique on multi-focus images by incorporating the concept Read More

Background: Breast cancer is essential to be detected in primitive localized stage for enhancing the possibility of survival since it is considered as the major malediction to the women society around the globe. Most of the intelligent approaches devised for breast cancer necessitate expertise that results in reliable identification of patterns that conclude the presence of oncology cells and determine the possible treatment to br Read More

Introduction: Segmentation of 3d shapes is a fundamental problem in computer graphics and computer-aided design. It has received much attention in recent years. The analysis and research methods of 3d mesh models have established reliable mathematical foundations in graphics and geometric modeling. Compared with color and texture, shape features describe the shape information of objects from geometric st Read More

Introduction: Shape segmentation is a fundamental problem of computer graphics and geometric modeling. Although the existence of segmentation algorithms of shapes have been widely studied in the mathematics community, little progress has been made on how to compute them on polygonal surfaces interactively using geodesic loops. Method: We compute the geodesic distance fields with the improved Fast Read More

Introduction: Computing salient feature points (SFP) of 3D models has important application value in the field of computer graphics. In order to extract the SFP more effectively, a novel SFP computing algorithm based on geodesic distance and decision graph clustering is proposed. Method: Firstly, the geodesic distance of model vertices is calculated based on the heat conduction equation, and then the average geodesic dist Read More

Background: Decision-making trial and evaluation laboratory (DEMATEL) is a practical and concise method to deal with the complicated socioeconomic system problems. However, there are two defects in original DEMATEL. On the one hand, the traditional expert preference expressions cannot reflect the hesitation and flexibility of expert, on the other hand, the experts’ weight is usually expressed as the equi Read More

Purpose: Existing methodologies on two-sided matching seldom consider asymmetry, uncertainty, and the fuzziness of preference information; therefore, this study aims to develop a methodology for solving the selection process between green suppliers and manufacturers with intuitionistic linguistic numbers. Methods: This study first constructs the evaluation indicators for both sides, which are depicted as intuitionistic linguis Read More

Background: Network structure is a critical issue for efficient inter-firm knowledge sharing. The optimal node degree plays a major role because it is generally regarded as a core proxy of network structural characteristics. This paper aims to examine what is the optimal node degree for an efficient network structure. Methods: Based on an interaction rule combining the barter rule and the gift rule, this study first describes a Read More

Background: In recent history, fingerprint presentation attack detection (FPAD) proposal came out in a variety of ways. A close-set approach uses a pattern classification technique that best suits a specific context and goal. The Open-set approach works fine in a wider context, which is relatively robust with new fabrication material and independent of sensor type. In both cases, results were promising but not too generalizable be Read More

Background: In the present digital world, Content Based Image Retrieval (CBIR) has gained significant importance. In this context, image processing technology has become the most sought one, as a result its demand has increased to a large extent. The complex growth concerning computer technology offers a platform to apply the image processing application. Well-known image retrieval techniques suitable for application z Read More

The data generated by medical equipment is huge and humongous in size loaded with valuable information. This data set requires an effective classification for accurate prediction. The prediction of health issues is an extremely difficult task, especially Chronic Kidney Disease (CKD) is one of the major unpredictable diseases in the medical field. Perhaps, certain medical experts do not have identical awareness and skills to solv Read More

Background: Today, the bi-clustering technique plays a vital role to analyze gene expression data in microarray technology. This technique performs clustering on both rows and columns of expression data simultaneously. It determines the expression level of genes set under the subset of several conditions or samples. Basically, the obtained information is collected in the form of a sub-matrix comprising microarray data that satisf Read More

In this paper, it is proposed to employ IWLD (Improved Weber Local Descriptor) for coral reef annotation. IWLD is a powerful texture descriptor, it is proposed to analyze the role of IWLD for coral reef classification. Background: Coral reefs are one of the oldest and dynamic ecosystems of the world. Manual annotation of coral reef is not possible due to lacking consistency and objectivity in human labeling. Objective: Manual an Read More