• Title/Summary/Keyword: Superior approach

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Securing SCADA Systems: A Comprehensive Machine Learning Approach for Detecting Reconnaissance Attacks

  • Ezaz Aldahasi;Talal Alkharobi
    • International Journal of Computer Science & Network Security
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    • v.23 no.12
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    • pp.1-12
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    • 2023
  • Ensuring the security of Supervisory Control and Data Acquisition (SCADA) and Industrial Control Systems (ICS) is paramount to safeguarding the reliability and safety of critical infrastructure. This paper addresses the significant threat posed by reconnaissance attacks on SCADA/ICS networks and presents an innovative methodology for enhancing their protection. The proposed approach strategically employs imbalance dataset handling techniques, ensemble methods, and feature engineering to enhance the resilience of SCADA/ICS systems. Experimentation and analysis demonstrate the compelling efficacy of our strategy, as evidenced by excellent model performance characterized by good precision, recall, and a commendably low false negative (FN). The practical utility of our approach is underscored through the evaluation of real-world SCADA/ICS datasets, showcasing superior performance compared to existing methods in a comparative analysis. Moreover, the integration of feature augmentation is revealed to significantly enhance detection capabilities. This research contributes to advancing the security posture of SCADA/ICS environments, addressing a critical imperative in the face of evolving cyber threats.

Efficiency Improvement of Organic Solar Cells Using Two-step Annealing Technique

  • Masood, Bilal;Haider, Arsalan;Nawaz, Tehsin
    • Transactions on Electrical and Electronic Materials
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    • v.17 no.3
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    • pp.134-138
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    • 2016
  • The fullerene solar cells are becoming a feasible choice due to the advanced developments in donor materials and improved fabrication techniques of devices. Recently, sufficient optimization and improvements in the processing techniques like incorporation of solvent vapor annealing (SVA) with additives in solvents has become a major cause of prominent improvements in the performance of organic solar cell-based devices . On the other hand, the challenge of reduced open circuit voltage (Voc) remains. This study presents an approach for significant performance improvement of overall device based on organic small molecular solar cells (SMSCs) by following a two step technique that comprises thermal annealing (TA) and SVA (abbreviated as SVA+TA). In case of exclusive use of SVA, reduction in Voc can be eliminated in an effective way. The characteristics of charge carriers can be determined by the measurement of transient photo-voltage (TPV) and transient photo-current (TPC) that determines the scope for improvement in the performance of device by two step annealing. The recovery of reduced Voc is linked with the necessary change in the dynamics of charge that lead to increased overall performance of device. Moreover, SVA and TA complement each other; therefore, two step annealing technique is an appropriate way to simultaneously improve the parameters such as Voc, fill factor (FF), short circuit current density (Jsc) and PCE of small molecular solar cells.

Bilateral Internal Superior Laryngeal Nerve Palsy of Traumatic Cervical Injury Patient Who Presented as Loss of Cough Reflex after Anterior Cervical Discectomy with Fusion

  • Shin, Dong-Uk;Sung, Joo-Kyung;Nam, Kyung-Hun;Cho, Dae-Chul
    • Journal of Korean Neurosurgical Society
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    • v.52 no.3
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    • pp.264-266
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    • 2012
  • Injury to the bilateral internal branch of superior laryngeal nerve (ibSLN) brings on an impairment of the laryngeal cough reflex that could potentially result in aspiration pneumonia and other respiratory illnesses. We describe a patient with traumatic cervical injury who underwent bilateral ibSLN palsy after anterior cervical discectomy with fusion (ACDF). An 75-year-old man visited with cervical spine fracture and he underwent ACDF through a right side approach. During the post-operative days, he complained of high pitched tone defect, and occasional coughing during meals. With a suspicion of SLN injury and for the work up for the cause of aspiration, we performed several studies. According to the study results, he was diagnosed as right SLN and left ibSLN palsy. We managed him for protecting from silent aspiration. Swallowing study was repeated and no evidence of aspiration was found. The patient was discharged with incomplete recovery of a high pitched tone and improved state of neurologic status. The SLN is an important structure; therefore, spine surgeons need to be concerned and be cautious about SLN injury during high cervical neck dissection, especially around the level of C3-C4 and a suspicious condition of a contralateral nerve injury.

Computational study of the wind load on a free-form complex thin shell structure

  • Rodrigues, A. Moret;Tome, Ana;Gomes, M. Gloria
    • Wind and Structures
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    • v.25 no.2
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    • pp.177-193
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    • 2017
  • The accelerated development of new materials, technologies and construction processes, in parallel with advances in computational algorithms and ever growing computational power, is leading to more daring and innovative architectural and structural designs. The search for non-regular building shapes and slender structures, as alternative to the traditional architectural forms that have been prevailing in the building sector, poses important engineering challenges in the assessment of the strength and mechanical stability of non-conventional structures and systems, namely against highly variable actions as wind and seismic forces. In case of complex structures, laboratory experiments are a widely used methodology for strength assessment and loading characterization. Nevertheless, powerful numerical tools providing reliable results are also available today and able to compete with the experimental approach. In this paper the wind action on a free-form complex thin shell is investigated through 3D-CFD simulation in terms of the pressure coefficients and global forces generated. All the modelling aspects and calibrating process are described. The results obtained showed that the CFD technique is effective in the study of the wind effects on complex-shaped structures.

A Case of Dural Arteriovenous Fistula of Superior Sagittal Sinus after Tamoxifen Treatment for Breast Cancer

  • Hwang, Sung-Kyun
    • Journal of Korean Neurosurgical Society
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    • v.57 no.3
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    • pp.204-207
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    • 2015
  • We are reporting an unusual case of dural arteriovenous fistula (AVF) of the superior sagittal sinus (SSS) after tamoxifen treatment for breast cancer. A 30-year-old female arrived at the emergency room with a sudden headache and left sided weakness and sensory loss. In her past medical history, she was diagnosed with breast cancer 1 year prior, and subsequently underwent a breast conserving mastectomy with whole breast radiation and adjuvant chemotherapy with tamoxifen. At the time of admission, computed tomography showed a small acute intracerebral hemorrhage at the right parietal cortex, and magnetic resonance imaging showed that a dural AVF at the SSS with a prominent and tortuous venous enhancement along the centrum semiovale was present. Cerebral angiography showed that the dural AVF at the mid-portion of the SSS with meningeal arterial feeding vessels entering the wall of the SSS, then draining through the dilated cortical veins. Our patient had no signs of active malignancy or any abnormalities in her coagulation profile, so it can be concluded that the tamoxifen was the likely cause of the SSS thrombosis and dural AVF. The dural AVF was treated by an endovascular coil embolization for the arterialized segment of the SSS. The patient dramatically recovered favorably from left side motor and sensory deficit. The best clinical approach is to screen potential patients of tamoxifen hormonal therapy and educate them on the sign and symptoms of life threatening thromboembolic events while taking tamoxifen.

Adoptability Challenges in Work Environment of Organizations using Agile Software Development Methods

  • M Subhan Dar;Shahra Asif;Saleem Zubair
    • International Journal of Computer Science & Network Security
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    • v.24 no.8
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    • pp.145-152
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    • 2024
  • Agile project management is an ongoing method to project completion that actually took place all across length of the project's life cycle. Because loop allows you to adapt as you go rather than maintaining a linear route, iterative methods are mainly applied in software development to ensure velocity and agility. Many pitfalls abound in agile software development adaptations that organizations fail to sidestep. New competitive challenges, fluctuating market dynamics, technological disruption, and the ever-changing demands of empowered customers confront organizations around the world. Organizations are all under tremendous pressure to adapt to change and deliver good products and services to customers more swiftly. Research measured at the challenges that could be encountered and offered advice for how agile development might flourish as it becomes a component of a company's family. Our paper gives a comprehensive review of the most significant obstacles that companies encounter while adopting agile techniques. Adaptability. The agile approach encompasses a variety of techniques, which each have different usage in various sectors. Because certain other standards existing today clash with agile methodology, the adaptation of any of the agile techniques in work environments posed a problem. In this paper, we will cover some of the challenges that firms face in adopting the agile software development life cycle.

Text Classification Using Parallel Word-level and Character-level Embeddings in Convolutional Neural Networks

  • Geonu Kim;Jungyeon Jang;Juwon Lee;Kitae Kim;Woonyoung Yeo;Jong Woo Kim
    • Asia pacific journal of information systems
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    • v.29 no.4
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    • pp.771-788
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    • 2019
  • Deep learning techniques such as Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) show superior performance in text classification than traditional approaches such as Support Vector Machines (SVMs) and Naïve Bayesian approaches. When using CNNs for text classification tasks, word embedding or character embedding is a step to transform words or characters to fixed size vectors before feeding them into convolutional layers. In this paper, we propose a parallel word-level and character-level embedding approach in CNNs for text classification. The proposed approach can capture word-level and character-level patterns concurrently in CNNs. To show the usefulness of proposed approach, we perform experiments with two English and three Korean text datasets. The experimental results show that character-level embedding works better in Korean and word-level embedding performs well in English. Also the experimental results reveal that the proposed approach provides better performance than traditional CNNs with word-level embedding or character-level embedding in both Korean and English documents. From more detail investigation, we find that the proposed approach tends to perform better when there is relatively small amount of data comparing to the traditional embedding approaches.

Is Interventional Therapy Superior to Medical Treatment in Chronic Low Back Pain?: No (만성요통의 치료에서 중재적인 치료가 보존적 치료보다 우세한가?: 부정적인 입장에서)

  • Bae, Jong-Seok
    • Annals of Clinical Neurophysiology
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    • v.12 no.1
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    • pp.7-10
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    • 2010
  • Chronic low back pain (CLBP) is a distinct disease entity in that its clinical course and response to the treatment are quite different from acute low back pain (ALBP). CLBP is also closely related with systemic or preexisting psychosocial factors rather than focal or localized factors. Since there has been little consensus in practice regarding the proper management of CLBP, clinicians tend to approach and manage patients with CLBP in an empirical manner rather than an evidence-based one. In this article, I will review the difficulties of therapeutic choice in CLBP and provide superior aspects of medical treatment over invasive interventional treatments.

Primary Mediastinal Liposarcoma - 1 Case Report - (원발성 종격동 지방육종 -1예 보고 -)

  • Lee, Seong-Yun;Hong, Eun-Gyeong;Ji, Haeng-Ok
    • Journal of Chest Surgery
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    • v.22 no.6
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    • pp.1061-1069
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    • 1989
  • A case of liposarcoma was reported in 52 year-old female. She had the operation history due to mediastinal lipoma at other Hospital before 26 months ago. Chest X-ray revealed a huge soft tissue mass- density at the entire right lung field, and left middle and lower lung field at admission. At the lateral film, the mass was located in the anterior and middle mediastinum. Transsternal bilateral thoracotomy was performed, followed by extirpation of liposarcoma, wedge resection of superior vena cava, angioplasty of superior vena cava, and then partial pericardiectomy. The post-operative treatment was 5500 rad irradiation. Post-operative course was uneventful, that was noticed by OPD follow-up for 10 months. Primary liposarcoma of the mediastinum is very rare tumor. This tumor grows to an enormous size, and symptoms are referable to compression of the contiguous intrathoracic structures. The treatment of choice is surgery in all cases. Such an approach serves to establish a tissue diagnosis, to relieve the patients* symptoms, and may results in a cure sometimes. Radiotherapy or/and chemotherapy seems to be ineffective, but should be further studied.

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Statistical Model-Based Noise Reduction Approach for Car Interior Applications to Speech Recognition

  • Lee, Sung-Joo;Kang, Byung-Ok;Jung, Ho-Young;Lee, Yun-Keun;Kim, Hyung-Soon
    • ETRI Journal
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    • v.32 no.5
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    • pp.801-809
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    • 2010
  • This paper presents a statistical model-based noise suppression approach for voice recognition in a car environment. In order to alleviate the spectral whitening and signal distortion problem in the traditional decision-directed Wiener filter, we combine a decision-directed method with an original spectrum reconstruction method and develop a new two-stage noise reduction filter estimation scheme. When a tradeoff between the performance and computational efficiency under resource-constrained automotive devices is considered, ETSI standard advance distributed speech recognition font-end (ETSI-AFE) can be an effective solution, and ETSI-AFE is also based on the decision-directed Wiener filter. Thus, a series of voice recognition and computational complexity tests are conducted by comparing the proposed approach with ETSI-AFE. The experimental results show that the proposed approach is superior to the conventional method in terms of speech recognition accuracy, while the computational cost and frame latency are significantly reduced.