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  • Open Access

    ARTICLE

    ENERGY EFFECTIVENESS OF SIMULTANEOUS HEAT AND MASS EXCHANGE DEVICES

    G. Prakash Narayana, Karan H. Mistrya, Mostafa H. Sharqawya, Syed M. Zubairb, John H. Lienhard Va,†

    Frontiers in Heat and Mass Transfer, Vol.1, No.2, pp. 1-13, 2010, DOI:10.5098/hmt.v1.2.3001

    Abstract Simultaneous heat and mass exchange devices such as cooling towers, humidifiers and dehumidifiers are widely used in the power generation, desalination, air conditioning, and refrigeration industries. For design and rating of these components it is useful to define their performance by an effectiveness. In this paper, several different effectiveness definitions that have been used in literature are critically reviewed and an energy based effectiveness which can be applied to all types of heat and mass exchangers is defined. The validity and the limitations of the various effectiveness definitions are demonstrated by way of several examples including direct and indirect contact,… More >

  • Open Access

    ARTICLE

    NUMERICAL INVESTIGATION OF FILM COOLING WITH CHEMICAL HEAT SINK

    Keyong Chenga,b,*, Chunzi Zhangc, Wei Chena,b, Shiqiang Lianga,†, Yongxian Guoa,d, Xiulan Huaia

    Frontiers in Heat and Mass Transfer, Vol.3, No.3, pp. 1-6, 2012, DOI:10.5098/hmt.v3.3.3003

    Abstract A film cooling method with chemical heat sink for gas turbine blades is proposed. In this method, an endothermic reaction of cooling stream occurs due to the heating from the mainstream, which leads to an improvement of film cooling effectiveness. The proposed method at different blowing ratios are computed and compared with the conventional one. The simulation result shows that due to the exsitence of the chemical heat sink the proposed method can enhance film cooling effectiveness not only in the streamwise direction, but also in the spanwise direction. More >

  • Open Access

    ARTICLE

    An Empirical Study on the Effectiveness of Adversarial Examples in Malware Detection

    Younghoon Ban, Myeonghyun Kim, Haehyun Cho*

    CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.3, pp. 3535-3563, 2024, DOI:10.32604/cmes.2023.046658

    Abstract Antivirus vendors and the research community employ Machine Learning (ML) or Deep Learning (DL)-based static analysis techniques for efficient identification of new threats, given the continual emergence of novel malware variants. On the other hand, numerous researchers have reported that Adversarial Examples (AEs), generated by manipulating previously detected malware, can successfully evade ML/DL-based classifiers. Commercial antivirus systems, in particular, have been identified as vulnerable to such AEs. This paper firstly focuses on conducting black-box attacks to circumvent ML/DL-based malware classifiers. Our attack method utilizes seven different perturbations, including Overlay Append, Section Append, and Break Checksum, capitalizing on the ambiguities present… More >

  • Open Access

    ARTICLE

    Psychological Anxiety Intervention for Young Audiences: Effectiveness Evaluation of Art Museums

    Jingjing Zhou1, Yungneng Lin2,*, Tingting Huang1

    International Journal of Mental Health Promotion, Vol.26, No.1, pp. 39-49, 2024, DOI:10.32604/ijmhp.2023.045203

    Abstract The mental health of young people, a significant public health concern worldwide, has deteriorated during the COVID-19 pandemic. Despite the subsiding of the epidemic, the issue remains unresolved in the post-pandemic era, specifically in China. In response, numerous art museums have stepped up to provide long-term therapeutic experiences and comprehensive mental health support. While these institutions offer a variety of services and programs aimed at enhancing the psychological well-being of their visitors, a standardized method for assessing their impact is lacking. This study, therefore, employed the Generic Wellbeing Questionnaire (GWQ) as a tool to evaluate the decrease in psychological anxiety… More >

  • Open Access

    ARTICLE

    An Experimental Investigation of Aero-Foil-Shaped Pin Fin Arrays

    Mainak Bhaumik1, Anirban Sur2,*, Kavita Dhanawade3

    Frontiers in Heat and Mass Transfer, Vol.21, pp. 467-486, 2023, DOI:10.32604/fhmt.2023.044605

    Abstract Pin fins are widely used in applications where effective heat transfer is crucial. Their compact design, high surface area, and efficient heat transfer characteristics make them a practical choice for many thermal management applications. But for a high heat transfer rate and lightweight application, aerofoil shape pin fins are a good option. This work focuses on an experimental model analysis of pin-fins with aerofoil shapes. The results were evaluated between perforation, no perforation, inline, and staggered fin configurations. Aluminum is used to make the pin fins array. The experiment is carried out inside a wind tunnel, and the heat supply… More >

  • Open Access

    ARTICLE

    Terrorism Attack Classification Using Machine Learning: The Effectiveness of Using Textual Features Extracted from GTD Dataset

    Mohammed Abdalsalam1,*, Chunlin Li1, Abdelghani Dahou2, Natalia Kryvinska3

    CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.2, pp. 1427-1467, 2024, DOI:10.32604/cmes.2023.029911

    Abstract One of the biggest dangers to society today is terrorism, where attacks have become one of the most significant risks to international peace and national security. Big data, information analysis, and artificial intelligence (AI) have become the basis for making strategic decisions in many sensitive areas, such as fraud detection, risk management, medical diagnosis, and counter-terrorism. However, there is still a need to assess how terrorist attacks are related, initiated, and detected. For this purpose, we propose a novel framework for classifying and predicting terrorist attacks. The proposed framework posits that neglected text attributes included in the Global Terrorism Database… More >

  • Open Access

    ARTICLE

    Effectiveness of Post-Traumatic Growth Intervention to Promote Positive PostTraumatic Traits in Chinese Breast Cancer Patients: A Randomized Controlled Trial

    Cuirong Xu1,*, Han Yan2, Dawei Xu3, Guanjie Chen5, Qian Xu2, Kunpeng Li6, Yehao Rui7, Zanmin Song3, Neeraj Gill3, Jing Sun3,4,*

    International Journal of Mental Health Promotion, Vol.25, No.10, pp. 1089-1102, 2023, DOI:10.32604/ijmhp.2023.030526

    Abstract Objective: The purpose of this study was to evaluate the effectiveness of post-traumatic growth (PTG) model-based intervention to improve positive psychological traits in Chinese breast cancer patients. Design: A randomized control trial of a psychological group intervention based on PTG model. Methods: The Clinical Trial was registered on 17 August 2019 at Chinese Clinical Trials.gov with Registration number ChiCTR1900025264. A total of 92 patients with breast cancer were recruited. The participants were randomly assigned to the experimental group (n = 46) and the control group (n = 46). A six-session psychological group intervention based on PTG model was implemented in… More >

  • Open Access

    ARTICLE

    An Air Defense Weapon Target Assignment Method Based on Multi-Objective Artificial Bee Colony Algorithm

    Huaixi Xing*, Qinghua Xing

    CMC-Computers, Materials & Continua, Vol.76, No.3, pp. 2685-2705, 2023, DOI:10.32604/cmc.2023.036223

    Abstract With the advancement of combat equipment technology and combat concepts, new requirements have been put forward for air defense operations during a group target attack. To achieve high-efficiency and low-loss defensive operations, a reasonable air defense weapon assignment strategy is a key step. In this paper, a multi-objective and multi-constraints weapon target assignment (WTA) model is established that aims to minimize the defensive resource loss, minimize total weapon consumption, and minimize the target residual effectiveness. An optimization framework of air defense weapon mission scheduling based on the multi-objective artificial bee colony (MOABC) algorithm is proposed. The solution for point-to-point saturated… More >

  • Open Access

    ARTICLE

    A Method of Evaluating the Effectiveness of a Hydraulic Oscillator in Horizontal Wells

    Zhen Zhong*, Yadong Li, Yuxuan Zhao, Pengfei Ju

    Sound & Vibration, Vol.57, pp. 15-27, 2023, DOI:10.32604/sv.2023.041954

    Abstract Bent-housing motor is the most widely used directional drilling tool, but it often encounters the problem of high friction when sliding drilling in horizontal wells. In this paper, a mathematical model is proposed to simulate slide drilling with a friction reduction tool of axial vibration. A term called dynamic effective tractoring force (DETF) is defined and used to evaluate friction reduction effectiveness. The factors influencing the DETF are studied, and the tool placement optimization problem is investigated. The study finds that the drilling rate of penetration (ROP) can lower the DETF but does not change the trend of the DETF… More >

  • Open Access

    ARTICLE

    Effectiveness of Deep Learning Models for Brain Tumor Classification and Segmentation

    Muhammad Irfan1, Ahmad Shaf2,*, Tariq Ali2, Umar Farooq2, Saifur Rahman1, Salim Nasar Faraj Mursal1, Mohammed Jalalah1, Samar M. Alqhtani3, Omar AlShorman4

    CMC-Computers, Materials & Continua, Vol.76, No.1, pp. 711-729, 2023, DOI:10.32604/cmc.2023.038176

    Abstract A brain tumor is a mass or growth of abnormal cells in the brain. In children and adults, brain tumor is considered one of the leading causes of death. There are several types of brain tumors, including benign (non-cancerous) and malignant (cancerous) tumors. Diagnosing brain tumors as early as possible is essential, as this can improve the chances of successful treatment and survival. Considering this problem, we bring forth a hybrid intelligent deep learning technique that uses several pre-trained models (Resnet50, Vgg16, Vgg19, U-Net) and their integration for computer-aided detection and localization systems in brain tumors. These pre-trained and integrated… More >

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