A Survey: Hierarchal Routing Protocol in Wireless Sensor Networks

The wireless sensor networks (WSNs) has been grown immensely in the past few decades. Researcher had proposed a number of routing protocols for WSN. WSN has two type of architecture layered and cluster architecture. We classify various clustering approaches based on different criterion in section [3]. Hierarchical Clustering protocols discussed in section [4] have extensively been used to achieve network scalability, energy efficiency and network lifetime. In this paper we discuss the challenges in design of WSN, advantages and objectives of clustering, various clustering approaches. We present a detailed survey on proposed clustering routing protocol in WSN literature

A New Approach of Cryptographic Technique Using Simple ECC ECF

Cryptography is the technique in which usually a file is converted into unreadable format by using public key and private key system called as public key cryptosystem. Then as per the user requirement that file is send to another user for secure data transmission. In this paper we purposed an image based cryptography that Elliptic Curve Function (ECF) techniques and pseudo random encoding technique on images to enhance the security of RFID communication. In the ECF approach, the basic idea is to replace the Elliptic Curve Function (ECF) of the cover image with the Bits of the messages to be hidden without destroying the property of the cover image significantly. The ECF based technique is the most challenging one as it is difficult to differentiate between the cover object and Crypto object if few ECF bits of the cover object are replaced. In Pseudo Random technique, a random key is used as seed for the Pseudo Random Number Generator in needed in the embedding process. Both the techniques used a Crypto key while embedding messages inside the cover image. By using the key, the chance of getting attacked by the attacker is reduced

Futures of Queer Well-Being in India

Being queer in India entails navigating a multifaceted experience shaped by historical stigma, discrimination, and legal hurdles. Yet, the resilient queer community, alongside allies and activists, advocates vocally for their rights. This research probes future forces impacting queer well-being, employing strategic foresight to examine trends. Scenarios envision potential shifts in well-being, unveiling interventions for stakeholders to optimize the queer community’s welfare. The insights obtained from the research guide us toward our envisioned future, harmonizing with the goals of the study. These insights offer stakeholders a profound grasp of queer individuals’ unique needs, facilitating tailored interventions. By reinforcing resilience and comprehending future dynamics, this research aspires to empower us to design a desired future, one in which queer well-being flourishes in all dimensions

Hardware Synthesis of Chip Enhancement Trasformations in Hardware Description Language Environment

Human analyze different sight in daily life images to perceive their environment. More than 99% of the activity of human brain is involved in processing images from the visual cortex. A visual image is rich in information and can save thousand words. Many real world images are acquired with low contrast and unsuitable for human eyes to read, such as industrial and medical X-ray images. Image enhancement is a classical problem in image processing and computer vision. The image enhancement is widely used for image processing and as a preprocessing step in texture synthesis, speech recognition, and many other image/video processing applications. The main challenge is to transpose the validated algorithms into a language as hardware description languages. It is also the need that the input and output data files should be reshaped to match the binary content permitted into the hardware simulators. Research focuses on Simulation, Design and Synthesis of 2D and 3D Image enhancement chip in Hardware description language (HDL) Environment. The chip implementation of image enhancement algorithm is done using Discrete Wavelet Transformation (DWT) and Inverse Modified Discrete Cosine Transformation (IMDCT). Hardware chip modeling and simulation is done in Xilinx 14.2 ISE Simulator. Synthesis environment is carried out on Diligent Sparten-3E FPGA. . Image enhanced values are seen in the waveform editor of Modelsim software

Pseudo Random Generator Based Public Key Cryptography

Advances in communication technology have seen strong interest in digital data transmission. However, illegal data access has become more easy and prevalent in wireless and general communication networks. In order to protect the valuable data from illegal access, different kinds of cryptographic systems have been proposed. In this paper, a new integrating channel coding and cryptography design communication systems is proposed. So we use cryptography as an error detection tool. In order to preserve the advantages of encryption and to improve its disadvantages, we place the encryptor before the encoder. The hamming encoder is used to select the generator matrix to be used as a block code to form the new system .In this the security of common cryptographic primitive i.e a key stream generator based on LFSR can be strengthened by using the properties of a physical layer.So, a passive eaves dropping will experience great difficulty in cracking the LFSR based cryptography system as the computational complexity of discovering the secret key increases to large extent. The analysis indicates that the proposed design possesses the following feature. Its security is higher than the conventional one with the channel encoder only. Privacy is more due to unknown random codes. As the applied codes are unknown to a hostile user, this means that it is hardly possible to detect the message of another user. Anti-jam performance is good. It overcomes the disadvantage of Chaos based cryptography system as input data is not extended and hence bandwidth is not wasted. Moreover, the computer simulation shows that the proposed system has a good ability in error detection especially when the SNR per bit is moderate high, and the detection ability is enhanced when the increased length of Hamming code is employed

Utility of platelet count and platelet indices as a prognostic indicator in pregnancy induced hypertension

Background: Changes in the hemostatic system are observed in both normal and hypertensive pregnant patients. Although the exact pathophysiology of pregnancy induced hypertension is not completely understood, numerous pathophysiological mechanisms, alone or in combination, have been suggested to be responsible for the diverse subsets of PIH.Methods: This was a prospective case control study conducted on 100 pregnant females (50 PIH and 50 normotensive) at Holy Family Hospital, New Delhi, from October 2020 to May 2021. platelet count and platelet indices (mean platelet volume and ratio of platelet count to mean platelet volume) at 32 weeks and at time of delivery were checked and Outcomes were compared.Results: For predicting PIH, platelet count showed sensitivity of 82% and specificity of 54%, MPV sensitivity of 54% and specificity of 82%, PC/MPV sensitivity of 82% and specificity of 62%. For predicting pre-eclampsia without severe symptoms, platelet count showed sensitivity of 89.47% and specificity of 47.62%, mean platelet volume sensitivity of 47.37% and specificity of 76.19%, platelet count/mean platelet volume sensitivity of 31.58% and specificity of 100%. We also found that in predicting pre-eclampsia with severe symptoms platelet count showed a sensitivity of 100% and specificity of 26.32%, whereas, mean platelet volume showed equal sensitivity and specificity of 55.56%, platelet count/mean platelet volume with sensitivity of 44.44% and specificity of 84.21%.Conclusions: We found that platelet count and platelet count/mean platelet volume decreases while mean platelet volume increases with severity of pregnancy induced hypertension

Cross-Sectional Study to Find Out the Prevalence of Cardiovascular Diseases Through Detection of ECG Abnormalities in Undiagnosed Population Using a Handheld ECG Device, SanketLife Pro Plus

: In India, cardiovascular diseases (CVDs) are now the main cause of sudden death. Statistics on prevalence or nationally representative surveillance statistics, however, are lacking. Aim: The objective of this cross-sectional study was to assess the ECG findings in general OPD patients not yet diagnosed with any CVD using SanketLife Pro Plus handheld ECG device. Materials and methods: The study data was extracted from a free ECG test camp, which was organized in the common OPD waiting area at Indraprastha Apollo Hospitals in New Delhi. Of the 100 persons screened, 78% had sinus rhythm and 13% had tachycardia. Apart from these, no other major findings were detected in the study population. One percent ST depression and 4% T-wave inversions were the significant findings of concern, suggestive of myocardial ischemia or infarction, especially in the undiagnosed population. Conclusion: Considering the sample size, even at a 1% incidence of major ECG abnormalities, the outcome is indicative of a possible underlying danger, which is avoidable with early detection and thorough awareness. A mass ECG screening along with collection of relevant data and appropriate research design may help to identify the population at risk. Besides the ECG screening, a stroke risk assessment should be done and prophylaxis must be given to the individuals who have been diagnosed with CVDs

Are Health Caregivers safe from workplace violence? A cross sectional study on workplace safety from Tertiary Care Hospital of Uttarakhand

Background: The prevalence of workplace violence in the healthcare sector is a problem that is frequently ignored and underreported. The performance of healthcare workers who have been the target of violence may suffer, which may have a negative effect on patient satisfaction and health. Aims & Objectives: The purpose of the current study was to determine the prevalence of workplace violence (WPV), risk factors for violence against healthcare workers, and their experiences regarding the same. Methodology: It was a cross-sectional study conducted on 157 hospital staff at Tertiary Care Medical College of Uttarakhand. Data was gathered using a semi-structured, self-administered questionnaire that was modified from the ILO, ICN, WHO, and PSI. Data were analyzed using SPSS software (version 20). Results: Factors like age, gender, job profile, lesser work experience, night shifts, and fewer staff on duty were found to have a positive association with workplace violence. It was observed that the majority of incidents took place in the ward, and the patient’s relatives were the attacker in most of the cases. It was also seen that the majority of Hospital staff did not get bothered by the incident except by staying super alert while dealing with other patients or their relatives. Conclusion: The study concludes that while caring for patients, Hospital staff are at risk of being victims of aggressive and violent situations. To reduce this problem, strategies like training staff in order to handle such incidents in the future should be brought into practice. Laws should be made stricter & assaulting staff on duty should be made a cognizable offense with serious consequences & heavy penalties. Also, the young budding MBBS students should be trained by incorporating these strategies, laws & policies in the CBME curriculu