Norjihan Binti Abdul Ghani^1,*, Suraya Hamid¹, Muneer Ahmad¹, Younes Saadi¹, N.Z. Jhanjhi², Mohammed A. Alzain³, Mehedi Masud⁴

Computer Systems Science and Engineering, Vol.40, No.3, pp. 913-926, 2022, DOI:10.32604/csse.2022.018467

Abstract The world health organization (WHO) terms dengue as a serious illness that impacts almost half of the world’s population and carries no specific treatment. Early and accurate detection of spread in affected regions can save precious lives. Despite the severity of the disease, a few noticeable works can be found that involve sentiment analysis to mine accurate intuitions from the social media text streams. However, the massive data explosion in recent years has led to difficulties in terms of storing and processing large amounts of data, as reliable mechanisms to gather the data and suitable techniques to extract meaningful insights… More >

Tsung-Yin Ou¹, Chen-Yang Cheng², Chun Hsiung Lai³, Hsin-Pin Fu^1,*

Computer Systems Science and Engineering, Vol.40, No.3, pp. 895-911, 2022, DOI:10.32604/csse.2022.018432

Abstract This paper proposes a solution to the open vehicle routing problem with time windows (OVRPTW) considering third-party logistics (3PL). For the typical OVRPTW problem, most researchers consider time windows, capacity, routing limitations, vehicle destination, etc. Most researchers who previously investigated this problem assumed the vehicle would not return to the depot, but did not consider its final destination. However, by considering 3PL in the B2B e-commerce, the vehicle is required back to the nearest 3PL location with available space. This paper formulates the problem as a mixed integer linear programming (MILP) model with the objective of minimizing the total travel… More >

Chia-Nan Wang¹, Chien-Chang Chou², Yu-Chi Chung^1,*, Nguyen Ky Phuc Phan³, Van Thanh Nguyen⁴, Viet Tinh Nguyen⁴

Computer Systems Science and Engineering, Vol.40, No.3, pp. 1059-1072, 2022, DOI:10.32604/csse.2022.018259

Abstract With the continuous development of technology, traditional manual work has been becoming more and more automated. Most large or medium-sized companies have applied Enterprise Resource Planning (ERP) software into their business and production activities. However, since many small firms cannot afford ERP because of its expensive cost, they often still employ manual work for the same tasks this software resolves, especially for scheduling. This paper aims to provide a possible solution for small businesses to try automated scheduling and discover whether it can help much. There are two main ways to make this determination: a mathematical model and a heuristic… More >

Liang Jin^1,*, Qinghui Meng¹, Shuang Liang²

Computer Systems Science and Engineering, Vol.40, No.3, pp. 1145-1152, 2022, DOI:10.32604/csse.2022.017744

Abstract This article has no abstract. More >

Yanzan Han^1,*, Huawen Zhang¹, Zengfang Shi¹, Shuang Liang²

Computer Systems Science and Engineering, Vol.40, No.3, pp. 1043-1057, 2022, DOI:10.32604/csse.2022.017742

Abstract Multi-joint manipulator systems are subject to nonlinear influences such as frictional characteristics, random disturbances and load variations. To account for uncertain disturbances in the operation of manipulators, we propose an adaptive manipulator control method based on a multi-joint fuzzy system, in which the upper bound information of the fuzzy system is constant and the state variables of the manipulator control system are measurable. The control algorithm of the system is a MIMO (multi-input-multi-output) fuzzy system that can approximate system error by using a robust adaptive control law to eliminate the shadow caused by approximation error. It can ensure the stability… More >

Yanzan Han^1,*, Hang Zhou¹, Zengfang Shi¹, Shuang Liang²

Computer Systems Science and Engineering, Vol.40, No.3, pp. 1099-1108, 2022, DOI:10.32604/csse.2022.017741

Abstract Urban rail trains have undergone rapid development in recent years due to their punctuality, high capacity and energy efficiency. Urban trains require frequent start/stop operations and are, therefore, prone to high energy losses. As trains have high inertia, the energy that can be recovered from braking comes in short bursts of high power. To effectively recover such braking energy, an onboard supercapacitor system based on a radial basis function neural network-based sliding mode control system is proposed, which provides robust adaptive performance. The supercapacitor energy storage system is connected to a bidirectional DC/DC converter to provide traction energy or absorb… More >

Mingming Zhang¹, Jiaming Mao^1,*, Yuanyuan Ma², Liangjie Xu³, Chuanjun Wang¹, Ran Zhao¹, Zhihao Li³, Lu Chen⁴, Wenbing Zhao⁵

Computer Systems Science and Engineering, Vol.40, No.3, pp. 1217-1231, 2022, DOI:10.32604/csse.2022.017657

Abstract As the power Internet of Things (IoT) enters the security construction stage, the massive use of perception layer devices urgently requires an identity authentication scheme that considers both security and practicality. The existing public key infrastructure (PKI)-based security authentication scheme is currently difficult to apply in many terminals in IoT. Its key distribution and management costs are high, which hinders the development of power IoT security construction. Combined Public Key (CPK) technology uses a small number of seeds to generate unlimited public keys. It is very suitable for identity authentication in the power Internet of Things. In this paper, we… More >

Jialin Ma^1,*, Zhaojun Wang², Hai Guo³, Qian Xie^1,4, Tao Wang⁴, Bolun Chen⁵

Computer Systems Science and Engineering, Vol.40, No.3, pp. 979-993, 2022, DOI:10.32604/csse.2022.016759

Abstract Syndrome differentiation-based treatment is one of the key characteristics of Traditional Chinese Medicine (TCM). The process of syndrome differentiation is difficult and challenging due to its complexity, diversity and vagueness. Analyzing syndrome principles from historical records of TCM using data mining (DM) technology has been of high interest in recent years. Nevertheless, in most relevant studies, existing DM algorithms have been simply developed for TCM mining, while the combination of TCM theories or its characteristics with DM algorithms has rarely been reported. This paper presents a novel Symptom-Syndrome Topic Model (SSTM), which is a supervised probabilistic topic model with three-tier… More >

Azza Abdullah Alnssayan, Mohammad Mahdi Hassan^*, Suliman A. Alsuhibany

Computer Systems Science and Engineering, Vol.40, No.3, pp. 927-945, 2022, DOI:10.32604/csse.2022.016734

Abstract The digitalization of healthcare-related information service systems has become a trend across the world. However, several crucial services are still provided manually due to a lack of trust in digital solutions. One such service is keeping records of children’s vaccination, which still relies on a paper-based file system in most parts of the world. This approach causes serious data integrity problems. Recently, healthcare has become a potential application area of the blockchain, as it can preserve and protect highly sensitive private medical records while sharing these records in a decentralized manner without losing personal ownership. Therefore, we propose a new… More >

Farzaneh Khorasani¹, Morteza Mohammadi Zanjireh^1,*, Mahdi Bahaghighat¹, Qin Xin²

Computer Systems Science and Engineering, Vol.40, No.3, pp. 1085-1098, 2022, DOI:10.32604/csse.2022.016003

Abstract With a sharp increase in the information volume, analyzing and retrieving this vast data volume is much more essential than ever. One of the main techniques that would be beneficial in this regard is called the Clustering method. Clustering aims to classify objects so that all objects within a cluster have similar features while other objects in different clusters are as distinct as possible. One of the most widely used clustering algorithms with the well and approved performance in different applications is the k-means algorithm. The main problem of the k-means algorithm is its performance which can be directly affected… More >