DIP Based Smart Door Lock System

In this era of digital development, the requirement of efficient security parameters to safeguard privacy becomes a necessity. In this paper, an effective implementation of security is used by the means of face recognition technology and the widely used One Time Password (OTP) generated with Group Special Mobile (GSM). These technologies when used together help to protect privacy. Conventionally, the modes of security to safeguard privacy are key locks and chains. But these can be sabotaged and the desired area can be open to unauthorized members. With this system, the need for keys can be completely eliminated. This paper provides a cognitive framework to serve the purpose of security with easy utility and cost effectiveness. In order to gain access to a secured area, face recognition technique is used with the help of digital image processing to recognize and allow only authorized users, while the OTP is generated for unauthorized members who can enter this area only if they have been allowed by authorized users to do so by giving them the OTP

An Enhanced Reversible Data Hiding Technique for Coloured Images

To maintain image contents confidentiality and to recover original image, there is a need of Reversible Data Hiding scheme. This paper proposes an enhanced reversible data hiding technique for the coloured image. All previous methods embed data by reversibly vacating room from the encrypted images, which may be subject to some errors on data extraction or image restoration. The proposed method embeds data by reserving room before encryption with a traditional RDH algorithm. It is easy for the data hider to reversibly embed data in the encrypted image. This paper also concerns with a method that embeds the data invisibly into an image. The transmission and exchange of image also needs a high security. To achieve a security, Visual Cryptography is used. Visual cryptography maintains security of a cover media and also it will not make a use of encryption key. Hence, it is less prone to attack. The proposed method can achieve real reversibility, that is, data extraction and image recovery are free of any error

Complicated to operate case of appendicitis: A rare incident

Introduction: Appendicitis is an appendix inflammation that’s severe. It affects people of all ages but is most common between the ages of 10 to 30, and both men and women are afflicted equally. Appendicitis is substantially less common in developing nations, particularly regions of Africa, and among lower socioeconomic levels. Clinical Findings: Pain in the right iliac fossa, nausea, vomiting. Diagnostic Evaluation: Blood test: Hb-14.5 gm%, Total RBC count-4.5 millions/cu mm, Total WBC count-8000/cu mm, Total Platelet count-2.5 lac/cu mm, Albumin-4.1 gm%, Bilirubin (conjugated)-0.4 gm%, Bilirubin(unconjugated)-1.1 gm%. On a CT scan of the abdomen and pelvis, an abnormal appendix (diameter >6 mm) was discovered, or a calcified appendices eolith was discovered in conjunction with peri appendiceal inflammation and fat stranding. Therapeutic Intervention: Inj. Amoxicillin 500 mg x OD, Tab. Emset 4mg x TDS, Inj. Tramadol 100 mg x TDS, Tab. Limcee 500 mg x OD, Tab. Pantoprazole 40 mg x OD. Outcome: After treatment, the patient’s condition improved. His pain is relieved, and now the patient is good. Conclusion: My patient was admitted with the complaint of pain in the right iliac fossa, nausea and vomiting. Diagnosis confirmed the case of Appendicitis. After getting the proper treatment, the patient’s condition got improved

Highly sensitive and selective biosensor based on graphene oxide coated long period grating

We propose an optical fiber immunosensor based on graphene oxide coated dual-peak long period grating (GO-dLPG), in which GO-IgG linking layer is used for rapid immunoassays. The binding interaction between antibody and antigen produced a detectable optical signal in terms of grating resonant wavelength shift, which was proportional to the analyte concentration. By deposition of GO overlay, the bulk RI sensitivity of dLPG was enhanced around 150%. The GO-coated dLPG was biofunctionalized by the immobilization of IgG to generate the biosensor. The IgG-bound GO-dLPG was used to detect the anti-IgG and anti-PSA, respectively, demonstrating high sensitivity and selectivity. The GO-dLPG biosensor can be further developed as a biosensing platform with advantages of label-free, real-time and low limit of detection

The acute effects of Waterpipe smoking on the cardiovascular and respiratory systems

Objective. To assess the acute effects of smoking in Waterpipe (WP) smokers in Ajman, United Arab Emirates (UAE). Context. 202 male volunteers aged > 17 years were included. Blood pressure, heart rate and respiratory rate values of each participant, before and after a 30 minute smoking session, were measured and compared. Standardized questionnaires were also answered. Results. Mean increases in systolic blood pressure (16 ± 1 mmHg), diastolic blood pressure (2 ± 0.7 mmHg), heart rate (6.30 ± 0.60 bpm) and respiratory rate (2 ± 2 breathes/min) were observed (p inf. 0.001). 92% of smokers believed Waterpipe smoking (WPS) to be harmful to health and 77% of smokers took up WPS for reasons of leisure. Results from the questionnaire revealed a significant relationship between smokers? beliefs of WPS and attempts to quit smoking ie. smokers who believed waterpipe to be harmful were more likely to try to quit. Educa- tion had influence on smokers ideas on WPS. 69% of smokers who claimed hookah is harmful had university qualification and further 23% has highschool qualification. Conclusions. Smoking Waterpipe has significant effects on both the cardiovascular and respiratory system. Waterpipe smokers despite sound knowledge, show little concern towards health. Education plays an important role and creates awareness about the hazards of smoking practices, including Waterpipe

Clinicopathological Profile and Surgical Treatment of Abdominal Tuberculosis: A Single Centre Experience in Northwestern Tanzania.

Abdominal tuberculosis continues to be a major public health problem worldwide and poses diagnostic and therapeutic challenges to general surgeons practicing in resource-limited countries. This study was conducted to describe the clinicopathological profile and outcome of surgical treatment of abdominal tuberculosis in our setting and compare with what is described in literature. A prospective descriptive study of patients who presented with abdominal tuberculosis was conducted at Bugando Medical Centre (BMC) in northwestern Tanzania from January 2006 to February 2012. Ethical approval to conduct the study was obtained from relevant authorities. Statistical data analysis was performed using SPSS version 17.0. Out of 256 patients enrolled in the study, males outnumbered females. The median age was 28 years (range = 16-68 years). The majority of patients (77.3%) had primary abdominal tuberculosis. A total of 127 (49.6%) patients presented with intestinal obstruction, 106 (41.4%) with peritonitis, 17 (6.6%) with abdominal masses and 6 (2.3%) patients with multiple fistulae in ano. Forty-eight (18.8%) patients were HIV positive. A total of 212 (82.8%) patients underwent surgical treatment for abdominal tuberculosis. Bands /adhesions (58.5%) were the most common operative findings. Ileo-caecal region was the most common bowel involved in 122 (57.5%) patients. Release of adhesions and bands was the most frequent surgical procedure performed in 58.5% of cases. Complication and mortality rates were 29.7% and 18.8% respectively. The overall median length of hospital stay was 32 days and was significantly longer in patients with complications (p < 0.001). Advanced age (age ≥ 65 years), co-morbid illness, late presentation, HIV positivity and CD4+ count < 200 cells/μl were statistically significantly associated with mortality (p < 0.0001). The follow up of patients were generally poor as only 37.5% of patients were available for follow up at twelve months after discharge. Abdominal tuberculosis constitutes a major public health problem in our environment and presents a diagnostic challenge requiring a high index of clinical suspicion. Early diagnosis, early anti-tuberculous therapy and surgical treatment of the associated complications are essential for survival

Translational Radiomics: Defining the Strategy Pipeline and Considerations for Application-Part 1: From Methodology to Clinical Implementation.

Enterprise imaging has channeled various technological innovations to the field of clinical radiology, ranging from advanced imaging equipment and postacquisition iterative reconstruction tools to image analysis and computer-aided detection tools. More recently, the advancements in the field of quantitative image analysis coupled with machine learning-based data analytics, classification, and integration have ushered us into the era of radiomics, which has tremendous potential in clinical decision support as well as drug discovery. There are important issues to consider to incorporate radiomics as a clinically applicable system and a commercially viable solution. In this two-part series, we offer insights into the development of the translational pipeline for radiomics from methodology to clinical implementation (Part 1) and from that to enterprise development (Part 2)

An implementation of electroencephalogram signals acquisition to control manipulator through brain computer interface

Brain computer interface (BCI) technology can be used to design a robotic arm whose decision would be based on the brain activity and brain signals. This proposed design can be more beneficial for the paralyzed people and the patients who are suffering from Amyotrophic lateral sclerosis (ALS), Locked in syndrome (LIS), or neurodegenerative disease. Due to these disease patients would not be able to hold and grip the objects properly. Extensive literature review showed that various EEG signal analysis has been completed with the accuracy of 70% to 85%. The suggested solution would be beneficial to the patients in terms of performing every day functions easily like draws opening, holding dishes and opening and closing of doors as well with more accuracy. In the proposed research electroencephalogram signals were observed and used to classify the type of the motion. Data acquisition comprised of three stages amplification can be considered as cost effective signal conditioning. High pass filter, low pass filter and then converted from analog to digital. Open vibe software was used to design the basic neuron scenario for the brain signals and then classified into alpha and beta waves. Robotic arm movement was based on the alpha and beta waves were performed precisely. Simulated results proved that proposed EEG signals acquisition performed better and can be acknowledged as cost effective. Researchers showed the successful execution of the brain wave signal classification with less false alarm rate for the robotic arm movement by modulation, digitization of the brain signal. Moreover, comparative analysis has been performed of Quadratic Discriminant analysis, k-NN and Medium Gaussian SVM in terms of accuracy prediction speed and training time. Comparative analysis proved that Medium Gaussian SVM worked better than the other classifiers with the accuracy of 95.8%. It was also proved that Medium Gaussian classifier has the capability to predict 10000 observations per second in 0.75466 training time. © 2019 IEEE

Access and utilisation of primary health care services comparing urban and rural areas of Riyadh Providence, Kingdom of Saudi Arabia

The Kingdom of Saudi Arabia (KSA) has seen an increase in chronic diseases. International evidence suggests that early intervention is the best approach to reduce the burden of chronic disease. However, the limited research available suggests that health care access remains unequal, with rural populations having the poorest access to and utilisation of primary health care centres and, consequently, the poorest health outcomes. This study aimed to examine the factors influencing the access to and utilisation of primary health care centres in urban and rural areas of Riyadh province of the KSA