Anonymous ID Based Signcryption Scheme for Multiple Receivers

Anonymous signcryption is synonyms of ring signcryption which provides anonymity of the sender along with the advantages of signcryption. Multi receiver signcryption is suited for situation where a sender wants to send a message to multiple receivers in the confidential and authenticated way. This paper proposes an identity based anonymous signcryption scheme in multi-receiver setting. It also provides proofs of provable security of the proposed scheme under some computationally difficult problems

Generalization of Barreto et al ID based Signcryption Scheme

This paper presents an efficient and provable secure identity based generalized signcryption scheme based on [1] which can work as signcryption scheme, encryption scheme and signature scheme as per need. Its security is proved under the difficulty of q-BDHIP. A generalized signcryption scheme in multiple PKGs environment is also proposed

Efficient Generalized Signcryption Schemes

Generalized signcryption is a new cryptographic primitive which works as a signcryption scheme, a signature scheme and an encryption scheme as per need. Recently Ji et al. proposed a security model for certificateless generalized signcryption scheme and also proposed a scheme which they claim is secure under the proposed security model. In this paper we show that Ji et al. scheme is not existentially unforgeable against Type-I adversary and propose a simplified certificateless generalized signcryption. We also present an efficient identity based generalized signcryption scheme

Identity based signcryption schemes without random oracles

Signcryption is a cryptographic primitive which performs encryption and signature in a single logical step with the cost lower than signature-then-encryption approach.. In this paper we gave attacks on confidentiality and unforgeability of two identity based signcryption schemes without random oracles. Further we proposed an improved identity based signcryption scheme without random oracles. We also proposed an identity based public verifiable signcryption scheme with third party verification without random oracles

Response of Antipsychotic Drugs in Late-onset and Early-onset Schizophrenia in the Vindhya Region, Central India: A Prospective Cohort Study

Introduction: Previous studies were predominantly on early-onset schizophrenia with little emphasis on clinical profile, therapeutic responsiveness and various investigational, biochemical and neuroimaging variables in Late-onset Schizophrenia (LOS), which is an emerging concern in elderly morbidity, and differs significantly from Early-onset Schizophrenia (EOS). Aim: To study the clinical profile, and response to various antipsychotic drugs in LOS and compare it with EOS. Materials and Methods: A clinical prospective cohort study was conducted in Shyam Shah Medical College, Rewa Madhya Pradesh, India, from January 2020 to June 2021, with baseline and follow-up assessment of psychotic and cognitive symptoms after four weeks using PANSS (Positive and Negative Syndrome Scale), MoCA (Montreal Cognitive Assessment) and BPRS (Brief Psychiatric Rating Scale) scales. A total of 51 patients were included in the study, divided into two groups of early and late onset, attending the out-patient and in-patient services during the period at the center and concomitant treatment with antipsychotics for four weeks. Statistical analysis was done in Statistical Package for Social Sciences (SPSS) version 21.0 with p-value of 0.05. Results: A total of 51 patients, 27 in EOS group and 24 in LOS were included and analysed in the present study. The demographic profile of late and EOS varied in mean age with EOS at 30.11 years and LOS at 57.66 years), gender distribution predominantly males (n=19) in EOS and predominantly females (n=20) in LOS) and the average age of onset of EOS was 22.05 years and LOS was 55.54 years. The duration of illness in EOS 7.98 years and LOS was 2.12 years. The mean Positive and Negative Syndrome Scale score at baseline for EOS was 1.92±1.07 and LOS was 2.83±0.56 and four weeks for EOS was 1.70±0.91 and LOS was 2.83±0.56. The response in Positive and Negative Syndrome Scale at 4 weeks as well as individual domain scale score such as hallucinations, suspiciousness, blunted effect, emotional withdrawal, active social avoidance showed significant results in both EOS and LOS. Conclusion: Schizophrenia can manifest for the first time in late life and manifestations of stringently defined schizophrenia is by no means confined to onset at younger ages. Although there are undoubted similarities between the symptoms of EOS and LOS, there are also clear differences, especially demographic and clinical characteristics, early identification of which will help in adequate intervention and prevention of further morbidity in the elderly

Two warehouse inventory policy with price dependent demand and deterioration under partial backlogging

In today's era of higher competition in the business, there are many conditions such as offered concession in bulk purchasing, seasonality, higher ordering cost, etc., which force a retailer to purchase more quantities than needed or exceed the storage capacity. So in this situation the retailer has to purchase an extra warehouse named as rented warehouse to stock the extra quantity. In this paper an inventory model for deteriorating products with selling price dependent rate is developed. The occurring shortages are assumed to be partially backlogged and cycle time is also variable. The purpose of the development of this model is to compute the amount and time of order which can optimize the total average cost of the system. A solution procedure and numerical example are presented to illustrate the implementation of the proposed study. Sensitivity analysis concerning with distinct system parameters is also presented to demonstrate the model

FACE RECOGNITION WITH HYBRID TECHNIQUES

<p>Face recognition framework is still in test by numerous applications particularly in close perception and in security frameworks. Generally all utilizations of face recognition utilize enormous information sets, making challenges in present time preparing and effectiveness. This paper contains a structure to enhance face recognition framework which have a few phases. For good result in face recognition framework a few upgrades are critical at each stage. A novel plan is displayed in this paper which gives the better execution for face recognition framework. This plan incorporates expanding in datasets, particularly huge datasets which are required for profound learning. Changing the picture differentiate proportion and pivoting the picture at a few edges which can enhance the recognition precision. At that point, trimming the proper territory of face for highlight extraction and getting the best element vector for face recognition finally. The last after effect of this plan will demonstrate that the given structure is able for distinguishing and perceiving faces with various postures, foundations, and appearance in genuine or present time.</p