• Current Optics and Photonics
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• v.4 no.3
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• pp.210-220
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• 2020

Aiming at the problem that the Local Sparse Difference Index algorithm has low accuracy and low efficiency when detecting target anomalies in a hyperspectral image, this paper proposes a Weighted Collaborative Representation and Sparse Difference-Based Hyperspectral Anomaly Detection algorithm, to improve detection accuracy for a hyperspectral image. First, the band subspace is divided according to the band correlation coefficient, which avoids the situation in which there are multiple solutions of the sparse coefficient vector caused by too many bands. Then, the appropriate double-window model is selected, and the background dictionary constructed and weighted according to Euclidean distance, which reduces the influence of mixing anomalous components of the background on the solution of the sparse coefficient vector. Finally, the sparse coefficient vector is solved by the collaborative representation method, and the sparse difference index is calculated to complete the anomaly detection. To prove the effectiveness, the proposed algorithm is compared with the RX, LRX, and LSD algorithms in simulating and analyzing two AVIRIS hyperspectral images. The results show that the proposed algorithm has higher accuracy and a lower false-alarm rate, and yields better results.

• Clinical and Experimental Pediatrics
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• v.50 no.8
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• pp.789-793
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• 2007

Basal cell nevus syndrome (BCNS), also known as Gorlin syndrome, is a rare autosomal dominant disorder characterized by variable manifestations, including multiple basal cell carcinomas, odontogenic keratocysts of the jaw, skeletal anomalies including scoliosis and bifid ribs, palmar and plantar pits, calcification of the falx cerebri, and biparietal frontal bossing. We report a case of a 9-year-old boy with the clinical features of basal cell nevus syndrome, in which a PTCH gene mutation was confirmed by DNA testing.

• Journal of Chest Surgery
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• v.21 no.4
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• pp.766-771
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• 1988

Von Recklinghausen`s neurofibromatosis, tuberous sclerosis and encephalotrigeminal angiomatosis[Sturge-Kalischer-Weber syndrome] are frequently classified under the heading of organic neurocutaneous syndromes. Both neurofibromatosis and tuberous sclerosis are believed to represent instances of simple autosomal dominant heredity. Multiple neurofibroma and cafe*-au-lait spots are the hallmarks of the van-Recklinghausen`s disease. The characteristic features of the fully developed syndrome are [1] pigmentation of the skin, including cafe*-au-lait spots, pigmented freckles and males, and occasionally a generalized darkening of the skin; [2] subcutaneous nodules and deep neurofibromatous tumors and diffuse plexiform growths of neural tissue; [3] skeletal anomalies, especially scoliosis; and [4] predilection to malignancy. In recent years cystic lung disease, usually of the so-called honeycomb lung variety, has been reported on several occasions in patients with tuberous sclerosis. This association has been shown to our sporadically as well as in members of a single family. Little attention has been paid to the presence of cystic lung disease in association with neurofibromatosis. Currently, most think of thoracic involvement in neurofibromatosis in terms of posterior mediastinal neuroma, pheochromocytoma, meningocele or, less commonly, parenchymal pulmonary neurofibromatosis. Author have experienced a case of von Recklinghausen`s disease. This case developed a huge neurofibroma in the both side thorax and invaded to the Lt. 7th rib.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.7
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• pp.375-381
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• 2021

Underpricing signifies that IPO share prices do not reflect the fundamental value of the listed company. Corporate governance plays an essential role in IPOs where the board of directors, the independent board of directors, and the board of supervisors are significant elements of accurate share pricing. The study investigates the underpricing phenomena and short-term performance of the IPO companies during the listing process in the Ho Chi Minh Stock Exchange (HOSE). The work outcomes illustrate the role of the corporate organizational structure in the period of the IPO process that may attract potential investors. The hypothesis testing is conducted with a multiple regression model including 100 observations from enterprises doing IPO listed on HOSE. The study results generate signals for the investors and regulators that the board of directors holds a strong negative influence on the underpricing process. Secondly, the level of the independent board of directors and stock exchange in itself has no significant impact on the underpricing process. Underpricing is one of the many anomalies of the stock exchanges that provide wrong signals for the market participants. Identifying stock prices that reflect their intrinsic value is an ongoing debate among scholars, investors, and other market participants.

• International Journal of Computer Science & Network Security
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• v.22 no.10
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• pp.237-245
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• 2022

The prominence of IoTs (Internet of Things) and exponential advancement of computer networks has resulted in massive essential applications. Recognizing various cyber-attacks or anomalies in networks and establishing effective intrusion recognition systems are becoming increasingly vital to current security. MLTs (Machine Learning Techniques) can be developed for such data-driven intelligent recognition systems. Researchers have employed a TFDNNs (Tensor Flow Deep Neural Networks) and DCNNs (Deep Convolution Neural Networks) to recognize pirated software and malwares efficiently. However, tuning the amount of neurons in multiple layers with activation functions leads to learning error rates, degrading classifier's reliability. HTFDNNs ( Hybrid tensor flow DNNs) and MRNs (Modified Residual Networks) or Resnet CNNs were presented to recognize software piracy and malwares. This study proposes HTFDNNs to identify stolen software starting with plagiarized source codes. This work uses Tokens and weights for filtering noises while focusing on token's for identifying source code thefts. DLTs (Deep learning techniques) are then used to detect plagiarized sources. Data from Google Code Jam is used for finding software piracy. MRNs visualize colour images for identifying harms in networks using IoTs. Malware samples of Maling dataset is used for tests in this work.

• Nuclear Engineering and Technology
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• v.55 no.2
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• pp.475-483
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• 2023

The high-flux advanced neutron application reactor (HANARO) is a multi-purpose research reactor at the Korea Atomic Energy Research Institute (KAERI). HANARO has been used in scientific and industrial research and developments. Therefore, stable operation is necessary for national science and industrial prospects. This study proposed an anomaly detection system based on deep learning, that supports the stable operation of HANARO. The proposed system collects multiple sensor data, displays system information, analyzes status, and performs anomaly detection using deep autoencoder. The system comprises communication, visualization, and anomaly-detection modules, and the prototype system is implemented on site in 2021. Finally, an analysis of the historical data and synthetic anomalies was conducted to verify the overall system; simulation results based on the historical data show that 12 cases out of 19 abnormal events can be detected in advance or on time by the deep learning AD model.

• Annals of Hepato-Biliary-Pancreatic Surgery
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• v.27 no.2
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• pp.220-225
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• 2023

Congenital duplication of the extrahepatic bile duct (DEBD) is an unusual anomaly of the biliary system. It occurs due to inability of the embryological duplex biliary system to regress. DEBD has various subtypes depending on the morphology and opening of the aberrant common bile duct. It can have distinct complications. We encountered a 38-year-old lady who experienced pain in the right upper abdomen along with a low-grade fever. Magnetic resonance cholangiopancreatography revealed DEBD with multiple calculi in the right hepatic duct (ductolithiasis) and joining of the right hepatic duct with the left hepatic duct in the intrapancreatic region. Endoscopic retrograde cholangiography failed to clear the calculi from the right duct. They were then managed by common bile duct exploration and roux-en-Y right hepaticojejunostomy for biliary drainage. Her postoperative period was uneventful. She is currently doing well after three months of follow-up. Hence, a proper preoperative delineation of such rare anomalies is essential. It could avoid inadvertent injury to the bile duct and operative complications.

• The Journal of Korea Assosiation for Disability and Oral Health
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• v.12 no.2
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• pp.92-95
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• 2016

Beckwith-Wiedemann syndrome comprises multiple congenital anomalies with a risk of development of childhood tumors. Macroglossia is the predominent finding in Beckwith-Wiedemann syndrome and other findings include postnatal somatic gigantism, abdominal wall defects, nevus flammeus of the face, congenital heart defects, and cleft palate. The aim of this case presentation is to describe the dental treatment of a child with Beckwith-Wiedemann syndrome. A 3-year-old boy with Beckwith-Wiedemann syndrome visited to the Seoul National University Dental Hospital for dental evaluation and treatment. Due to the multiple caries and poor cooperation, we planned to perform the dental procedure under general anesthesia. The dental procedure was successfully performed and there was no airway complications after extubation. This case suggests that general anesthesia may be useful for the patient with uncooperative Beckwith-Wiedemann syndrome, since macroglossia and laryngomalacia may exacerbates airway compromise during dental sedation.

• Journal of KIISE:Information Networking
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• v.30 no.3
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• pp.397-406
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• 2003

As the information technology grows interests in the intrusion detection system (IDS), which detects unauthorized usage, misuse by a local user and modification of important data, has been raised. In the field of anomaly-based IDS several artificial intelligence techniques such as hidden Markov model (HMM), artificial neural network, statistical techniques and expert systems are used to model network rackets, system call audit data, etc. However, there are undetectable intrusion types for each measure and modeling method because each intrusion type makes anomalies at individual measure. To overcome this drawback of single-measure anomaly detector, this paper proposes a multiple-measure intrusion detection method. We measure normal behavior by systems calls, resource usage and file access events and build up profiles for normal behavior with hidden Markov model, statistical method and rule-base method, which are integrated with a rule-based approach. Experimental results with real data clearly demonstrate the effectiveness of the proposed method that has significantly low false-positive error rate against various types of intrusion.

• Journal of Genetic Medicine
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• v.11 no.2
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• pp.74-78
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• 2014

Sotos syndrome (SS, OMIM 117550) is characterized by prenatal and postnatal overgrowth with multiple congenital anomalies. However, there have been few cases of growth retardation caused by renal failure from infancy. We report a case of dysplasia of the bilateral kidneys with renal failure and poor postnatal growth. A 2-month-old boy visited the emergency room owing to poor oral intake and abdominal distension. He was born at the gestational age of 38 weeks with a birth weight of 4,180 g. After birth, he had feeding difficulty and abdominal distension. Upon physical examination, his height and weight were in less than the 3rd percentile, while his head circumference was in the 50th percentile on the growth curve. He also showed a broad and protruding forehead and high hairline. Blood laboratory tests showed severe azotemia; emergent hemodialysis was needed. Abdominal ultrasonography revealed bilateral renal dysplasia with multiple cysts and diffuse bladder wall thickening. A posterior urethral valve was suggested based on vesicoureterography and abdominal magnetic resonance findings. Results of a colon study to rule out congenital megacolon did not reveal any specific findings. The conventional karyotype of the patient was 46, XY. Array comparative genomic hybridization study revealed a chromosome 5q35 microdeletion including the NSD1 gene, based on which SS was diagnosed. We describe a case of SS presenting with end stage renal disease due to posterior urethral valve. The typical somatic overgrowth of SS in the postnatal period was not observed due to chronic renal failure that started in the neonatal period.