Detection and Localization of Firearm Carriers in Complex Scenes for Improved Safety Measures

Detecting firearms and accurately localizing individuals carrying them in images or videos is of paramount importance in security, surveillance, and content customization. However, this task presents significant challenges in complex environments due to clutter and the diverse shapes of firearms. To address this problem, we propose a novel approach that leverages human-firearm interaction information, which provides valuable clues for localizing firearm carriers. Our approach incorporates an attention mechanism that effectively distinguishes humans and firearms from the background by focusing on relevant areas. Additionally, we introduce a saliency-driven locality-preserving constraint to learn essential features while preserving foreground information in the input image. By combining these components, our approach achieves exceptional results on a newly proposed dataset. To handle inputs of varying sizes, we pass paired human-firearm instances with attention masks as channels through a deep network for feature computation, utilizing an adaptive average pooling layer. We extensively evaluate our approach against existing methods in human-object interaction detection and achieve significant results (AP=77.8\%) compared to the baseline approach (AP=63.1\%). This demonstrates the effectiveness of leveraging attention mechanisms and saliency-driven locality preservation for accurate human-firearm interaction detection. Our findings contribute to advancing the fields of security and surveillance, enabling more efficient firearm localization and identification in diverse scenarios.Comment: This paper is accepted in IEEE Transactions on Computational Social System

The evaluation of hepatocellular carcinoma with biphasic contrast enhanced helical CT scan

Objective: To evaluate the role of biphasic contrast-enhanced helical CT including Hepatic Arterial Phase (HAP) imaging with Portal Venous Phase (PVP) imaging, in the detection and characterization of hepatocellular carcinomas.Methods: The study included 40 patients (M = 26, F = 14) with histopathologically proven HCC. Age range was between 30-85 years (mean = 55) by following consecutive patients with cirrhosis in whom Hepatocellular carcinoma was diagnosed or suspected either by raised serum a (alpha)-fetoprotein level or Ultrasound.Results: Biphasic contrast-enhanced examination revealed a total of 85 lesions in these 40 patients, out of which 13 were unifocal, 12 showed a dominant mass with satellite lesions, 2 showed cluster of contiguous nodules and 13 were multifocal HCCs. Mean diameter was 3.1 cm, ranging from 0.8 to 14 cm. On HAP imaging 85% were detected. (hyperattenuating = 69, hypoattenuating = 3) while on PVP imaging detectibility was only 48% (hyperattenuating = 2, hypoattenuating = 39). Hence detectibility was significantly (p = 0.008) superior in HAP as compared to PVP imaging. In 7 patients (17%) tumor was visible only on HAP images. Venous invasion was present in 12 patients (30%) while arterio-portal shunting was seen in 5 patients (13%).CONCLUSION: Biphasic contrast enhanced helical CT is a useful method in detection and characterization of HCC

Implementation of ANN Controller Based UPQC Integrated with Microgrid

This study discusses how to increase power quality by integrating a unified power quality conditioner (UPQC) with a grid-connected microgrid for clean and efficient power generation. An Artificial Neural Network (ANN) controller for a voltage source converter-based UPQC is proposed to minimize the system’s cost and complexity by eliminating mathematical operations such as a-b-c to d-q-0 translation and the need for costly controllers such as DSPs and FPGAs. In this study, nonlinear unbalanced loads and harmonic supply voltage are used to assess the performance of PV-battery-UPQC using an ANN-based controller. Problems with voltage, such as sag and swell, are also considered. This work uses an ANN control system trained with the Levenberg-Marquardt backpropagation technique to provide effective reference signals and maintain the required dc-link capacitor voltage. In MATLAB/Simulink software, simulations of PV-battery-UPQC employing SRF-based control and ANN-control approaches are performed. The findings revealed that the proposed approach performed better, as presented in this paper. Furthermore, the influence of synchronous reference frame (SRF) and ANN controller-based UPQC on supply currents and the dc-link capacitor voltage response is studied. To demonstrate the superiority of the suggested controller, a comparison of percent THD in load voltage and supply current utilizing SRF-based control and ANN control methods is shown

A Sociological Study about the Adoption of Contraception Methods and Their Effects on the Married Females’ Health in Rural Areas of Tehsil Dera Ghazi Khan-Pakistan

Population is growing rapidly & adoption of FP has been neglected by Govt. of Pakistan due to lack of services, awareness and education, traditional believes, employment & misconception. Mostly people think that the use of contraception methods is against the nature and Islam and is also harmful for health. So present study was designed in rural areas of Tehsil Dera Ghazi Khan in 2013 to investigate the knowledge level, adoption of contraception as well as to perceived positive and negative effects of contraception methods on the health of married females in rural community. 160 rural married females were interviewed to find out their demographic features; utilization of contraception and its side effects on their health in tehsil Dera Ghazi Khan. The data was analyzed by using Uni-variate (frequency distribution and percentage) and Bi-variate analysis (Chi square and Gamma Statistics) was carried out. Predominating age categories were <15 and 16-20 years, 45.6% were illiterate, and 55.6% had good mutual understandings. More than one fifth (26.2%) had 1-2 pregnancies, 59.4% had sometimes heard about contraceptive methods while 84.4% had favorable attitude towards adoption of contraception methods. Whereas 58.1% had sometimes used contraceptive methods, 31.9% got information about contraceptive methods from relatives. In adoption of different contraception methods during the life span, respondents reported both types i.e. modern injections (60.6%), spermicides (50.6%), and in traditional methods i.e. withdrawal (6.2%); adoption of herbs (5.7%) and 44.4% had faced positive effects while 19.4% faced negative effects whereas 36.2% of the respondents had both type of effects (positive/ negative) on their health after the adoption of FP methods during reproductive span. Bi-variate analysis showed positive relationship between desired of family size and utilization of contraception, Freedom of decision making vs utilization of contraception methods and mutual understanding of spouse vs adoption of contraception method. There was a need to bring positive change in societal attitude for the utilization of family planning. Keywords: FP Methods, Contraception adoption, effects, Religious opinion, Decision making, Rural Females, Socio-economic statu

Understanding communication pathways to foster community engagement for health improvement in North West Pakistan

Background: This paper describes the community engagement process undertaken to ascertain the focus, development and implementation of an intervention to improve iodised salt consumption in rural communities in North West Pakistan. The Jirga is a traditional informal structure, which gathers men respected within their community and acts in a governing and decision making capacity in the Pukhtoon culture. The Jirga system had a dual purpose for the study; to access men from the community to discuss the importance of iodised salt, and as an engagement process for the intervention. Methods: A number of qualitative data collection activities were undertaken, with Jirga members and their wives, male and female outreach workers and two groups of women, under and over forty years old. The aim of these were to highlight the communication channels and levers of influence on health behaviour, which were multiple and complex and all needed to be taken into consideration in order to ensure successful and locally sensitive community engagement. Results: Communication channels are described within local families and the communities around them. The key influential role of the Jirga is highlighted as linked both to the standing of its members and the community cohesion ethos that it embodies. Engaging Jirga members in discussions about iodised salt was key in designing an intervention that would activate the most influential levers to decision making in the community. Gendered decision making-processes within the household have been highlighted as restricting women’s autonomy. Whilst in one respect our data confirm this, a more complex hierarchy of decisional power has been highlighted, whereby the concept of ‘wisdom’, an amalgamation of age, experience and education, presents important possibilities. Community members with the least autonomy are the youngest uneducated females, who rely on a web of socially and culturally determined ways to influence decision-making. Conclusions: The major lines of communication and influence in the local community described are placed within the wider literature on community engagement in health improvement. The process of maximisation of local cultural knowledge as part of a community engagement effort is one that has application well beyond the particular setting of this study

Blockchain adoption for sustainable supply chain management : economic, environmental, and social perspectives

Due to the rapid increase in environmental degradation and depletion of natural resources, the focus of researchers is shifted from economic to socio-environmental problems. Blockchain is a disruptive technology that has the potential to restructure the entire supply chain for sustainable practices. Blockchain is a distributed ledger that provides a digital database for recording all the transactions of the supply chain. The main purpose of this research is to explore the literature relevant to blockchain for sustainable supply chain management. The focus of this review is on the sustainability of the blockchain-based supply chain concerning environmental conservation, social equality, and governance effectiveness. Using a systematic literature review, a total of 136 articles were evaluated and categorized according to the triple bottom-line aspects of sustainability. Challenges and barriers during blockchain adoption in different industrial sectors such as aviation, shipping, agriculture and food, manufacturing, automotive, pharmaceutical, and textile industries were critically examined. This study has not only explored the economic, environmental, and social impacts of blockchain but also highlighted the emerging trends in a circular supply chain with current developments of advanced technologies along with their critical success factors. Furthermore, research areas and gaps in the existing research are discussed, and future research directions are suggested. The findings of this study show that blockchain has the potential to revolutionize the entire supply chain from a sustainability perspective. Blockchain will not only improve the economic sustainability of the supply chain through effective traceability, enhanced visibility through information sharing, transparency in processes, and decentralization of the entire structure but also will help in achieving environmental and social sustainability through resource efficiency, accountability, smart contracts, trust development, and fraud prevention. The study will be helpful for managers and practitioners to understand the procedure of blockchain adoption and to increase the probability of its successful implementation to develop a sustainable supply chain network

A Survey on the Security and the Evolution of Osmotic and Catalytic Computing for 5G Networks

The 5G networks have the capability to provide high compatibility for the new applications, industries, and business models. These networks can tremendously improve the quality of life by enabling various use cases that require high data-rate, low latency, and continuous connectivity for applications pertaining to eHealth, automatic vehicles, smart cities, smart grid, and the Internet of Things (IoT). However, these applications need secure servicing as well as resource policing for effective network formations. There have been a lot of studies, which emphasized the security aspects of 5G networks while focusing only on the adaptability features of these networks. However, there is a gap in the literature which particularly needs to follow recent computing paradigms as alternative mechanisms for the enhancement of security. To cover this, a detailed description of the security for the 5G networks is presented in this article along with the discussions on the evolution of osmotic and catalytic computing-based security modules. The taxonomy on the basis of security requirements is presented, which also includes the comparison of the existing state-of-the-art solutions. This article also provides a security model, "CATMOSIS", which idealizes the incorporation of security features on the basis of catalytic and osmotic computing in the 5G networks. Finally, various security challenges and open issues are discussed to emphasize the works to follow in this direction of research.Comment: 34 pages, 7 tables, 7 figures, Published In 5G Enabled Secure Wireless Networks, pp. 69-102. Springer, Cham, 201

Comparison of Different Central Composite Designs

ABSTRACT Several measures of robustness for designs, which is considered to be optimal with respect to A-, D-, E-, and G-optimality criteria. When several designs are proposed for comparison, then their optimality properties can be compared for the choice of design. To compare a class of central composite designs on the basis of optimality, a simple characterization of the optimality may be given in terms of the eigen values of ) ( X X ′ . Trace criterion has been used to measure the effect of missing observations on the variances of the estimates of the parameters and response. The different combinations of missing observations have different effect on the variances of the estimates of the parameters. Some combinations of these observations are more informative than others. The most informative combination of missing observations increase the variance maximum as compared to a least informative combination of missing observations

Comparison of Different Central Composite Designs

ABSTRACT Several measures of robustness for designs, which is considered to be optimal with respect to A-, D-, E-, and G-optimality criteria. When several designs are proposed for comparison, then their optimality properties can be compared for the choice of design. To compare a class of central composite designs on the basis of optimality, a simple characterization of the optimality may be given in terms of the eigen values of ) ( X X ′ . Trace criterion has been used to measure the effect of missing observations on the variances of the estimates of the parameters and response. The different combinations of missing observations have different effect on the variances of the estimates of the parameters. Some combinations of these observations are more informative than others. The most informative combination of missing observations increase the variance maximum as compared to a least informative combination of missing observations

Socio-Economic assessment of skimming wells in the selected commands of the Lower Indus Basin

In Asghar, Muhammad Nadeem; Zhu, Zhongping; Sohag, Mumtaz Ahmed; Lashari, Bhakshal, Assessment of hydro-geological potential of skimming wells in the Lower Indus Basin of Pakistan. Lahore, Pakistan: IWM