Automatic Gait Recognition and its Potential Role in Counterterrorism

ABSTRACT

Closed-circuit television footage can be used to assemble an often-complex picture of an incident and aid in the identification of suspects after a crime or terrorist attack has occurred. For example, such footage allowed the police to not only identify the 7/7 London bombers but also to piece together the details of the bombers' movements prior to the attack. In the case of the London bombers little attempt was made to disguise their identities but where such identities are concealed it is possible to identify suspects based on other unique biometric characteristics such as the style of walk, referred to as gait. Gait feature–based individual identification has received increased attention from biometrics researchers. In this article, we propose a novel gait biometric methodology that could contribute to the counterterrorism effort and the identification of individuals involved in crime.     

Baselines for Clean Development Mechanism Projects: The Marrakesh Accords and Beyond

The Marrakesh Accords at the seventh meeting of Conference of Parties (COP-7) finally set the Clean Development Mechanism (CDM) wheel moving by establishing a CDM Board and providing some broad guidelines on baselines for the CDM projects. The broad guidelines provide flexibility to develop baselines, which gives rise to prospect of more than one baseline for a project. This has been illustrated with a case study of Zafarana, a wind farm power project. seven possible baselines emerge when applying the broad guidelines included in the Accords indicating the need for detailed guidelines. In the current scenario, a project developer may have to work-out the best course of action considering criteria such as level of complexity and available expertise to develop the baseline, availability of data, expected return etc.     

Experience of training for decentralized planning in Nepal

People's participation is both a method and an objective of rural development programmes in Nepal. The government has adopted decentralization measures to facilitate this. As the subject of decentralization involves new roles and responsibilities for both people and government officials, designing viable training programmes has been emphasized. Commensurate with this, a pilot training programme has been conducted in the Tanahun District for two years. The objective of this programme was to produce a decentralized planning training module which could be replicated elsewhere. This paper deals with the content of this programme and highlights the lessons learnt.     

Education,human error,and road crash risk: An empirical investigation in the Indian states

This study examines the road accident rates from 29 Indian states and 6 Union Territories during 2006–2015. In this paper, we have employed several empirical techniques such as regression, generalized method of moments (GMM), and threshold regression models to examine how education and attitude of the drivers impact the road accident rates. In our empirical analysis, we demonstrate that lawless driving is found to be positive and statistically significant while incorporating both state and year effects. We also find some interesting result in the context of education and road accidents. We notice positive relationship between higher education and road accident rates across Indian states, which tells us highly educated people are more prone to road accidents as compared with less educated people. In the threshold analysis, the study discovers the positive relationship between road injury and accidents caused by people with higher education, in cases of considering road injury rate from drunken driving as the threshold variable. There appears to be a large number of behavioral issues emanating from higher education, which contributes significantly to the road accident rates in the Indian states. Hence, there is a need for policy intervention.     

Dynamics of governance,gross capital formation,and growth: Evidence from Brazil,Russia, India,China, and South Africa

This study investigates the impact of governance index and gross fixed capital formation on the economic growth of Brazil, Russia, India, China and South Africa (BRICS) using annual data from 2002 to 2019. This study employs Fixed Effect Model, Driscoll and Kraay standard error with fixed effect, Fully Modified Ordinary Least Square, Dynamic Ordinary Least Square (DOLS) and Panel Dumitrescu Hurlin Causality test. The study has divided the variables into two models where model I includes the impact of governance index (jointly) on economic growth while model II examines the impact of governance index on economic growth individually. The findings demonstrate that the governance index, gross fixed capital formation, population, control of corruption, and governance effectiveness have a positive and significant impact on economic growth, whereas regulatory quality showed a significant and negative impact on economic growth. Furthermore, regarding the Panel test, we notice the presence of unidirectional causality among the constituent variables. Therefore, this study suggests that the government should encourage economic development in the BRICS countries and move away from outdated ideas and poor institutional quality in favor of a new comprehensive reform to achieve excellent governance, population growth control, labor law changes, and corruption control.