254 research outputs found
Tobset: a New Tobacco Crop and Weeds Image Dataset and Its Utilization for Vision-Based Spraying by Agricultural Robots
No full textAlam, Muhammad Shahab/0000-0002-5653-2503; Gunes, Ahmet/0000-0003-1663-0368; Khan, Muhammad/0000-0002-9195-3477; Tufail, Muhammad/0000-0002-0287-3900; , bashir/0000-0001-5254-7698; saleem, waqas/0000-0003-3991-0127; Alam, Mansoor/0000-0003-1732-205XSelective agrochemical spraying is a highly intricate task in precision agriculture. It requires spraying equipment to distinguish between crop (plants) and weeds and perform spray operations in real-time accordingly. The study presented in this paper entails the development of two convolutional neural networks (CNNs)-based vision frameworks, i.e., Faster R-CNN and YOLOv5, for the detection and classification of tobacco crops/weeds in real time. An essential requirement for CNN is to pre-train it well on a large dataset to distinguish crops from weeds, lately the same trained network can be utilized in real fields. We present an open access image dataset (TobSet) of tobacco plants and weeds acquired from local fields at different growth stages and varying lighting conditions. The TobSet comprises 7000 images of tobacco plants and 1000 images of weeds and bare soil, taken manually with digital cameras periodically over two months. Both vision frameworks are trained and then tested using this dataset. The Faster R-CNN-based vision framework manifested supremacy over the YOLOv5-based vision framework in terms of accuracy and robustness, whereas the YOLOv5-based vision framework demonstrated faster inference. Experimental evaluation of the system is performed in tobacco fields via a four-wheeled mobile robot sprayer controlled using a computer equipped with NVIDIA GTX 1650 GPU. The results demonstrate that Faster R-CNN and YOLOv5-based vision systems can analyze plants at 10 and 16 frames per second (fps) with a classification accuracy of 98% and 94%, respectively. Moreover, the precise smart application of pesticides with the proposed system offered a 52% reduction in pesticide usage by spotting the targets only, i.e., tobacco plants.King Saud University, Saudi Arabia [RSP-2021/145]This study received funding from King Saud University, Saudi Arabia, through researchers supporting project number (RSP-2021/145). The APCs were funded by King Saud University, Saudi Arabia, through researchers supporting project number (RSP-2021/145)
Intoxication and self-defence : a comparative study of principles of English law and Shari'ah
No full textThe study is based upon an analysis of the general principles of criminal liability in English law and Shari 'ah. It is hoped that it may provide a valid basis for discussion of the future development of criminal law.
The relationship between law and society is an organic one and this relationship in Shari'ah is based on revelatory text of precepts, law, and admonitions. Shari'ah is an
essential part of faith of every Muslim; a sound knowledge of its principles not only gives him a sense of inner fulfilment but enables him to order his life according to the dictates of his religion. On the other hand, in English law, religious beliefs and private morality might be viewed as not a matter for law. Religion is in that context generally conceived as a spiritual sphere of supra-human connotation distinct from law, which is basically a secular concern.
Both the systems of law under consideration are different in their sources and nature. English law, being a positive law, finds its source in legislation and other recognised
sources. Shari 'ah is a divine ordinance imposed upon people without having a freedom of choice and it has its roots in its primary sources, the Holy Qur'an, and the Sunnah.
However, the revelatory nature of Shari'ah does not render it entirely inflexible and immutable. The finality of authoritative legal texts is confined only to a limited number of injunctions in the primary sources. The secondary sources provide flexibility to meet the changing requirements of society. A legal system should strike a fair balance between flexibility and inflexibility of legal rules. A very flexible system of law may lead to inconsistencies, illogicalities and at the same time may be subject to abuse by judges while a rigid system, which leaves no room for judicial discretion is likely to
lead to injustice in certain cases. It is submitted that the very flexible nature of English law has left it full of inconsistencies and illogicalities, despite the appropriate use of judicial discretion.
The research offers a general view of modern thinking about the theoretical foundations and methodology of Shari'ah Shari 'ah recognises a variety of sources and methods from which a rule of law might be derived. Part-I of the thesis discusses the evolving principles of Islamic jurisprudence from their rudimentary sources. The specific relationship between socio-religious reality and the production of theoretical legal discourse is illustrated in Part-11 and III while dealing with the problem of intoxication
and private defence in society. It suggests that Shari'ah provides a framework in which the complex and sometimes competing needs of an individual and society can be fairly
apportioned.
The research will demonstrate that there is a well developed system of criminal law in Shari'ah that can be compared with the most developed and civilised criminal law of the contemporary world, for example, English criminal law. In order to compare the compatibility of both the legal systems, the approaches of both towards the problems of intoxication and self-defence have been taken as a parameter. Though Shari 'ah provisions seem to be predominantly prescriptive as compared to English criminal law, the comparison will show that it can provide practical solutions to problems faced by human society of any age. Shari 'ah being a revealed law is proactive in its nature. It takes action to cause changes and not only react to a change when it happens. This particular feature can be felt while dealing with the problem of intoxication. English
criminal law, on the other hand, being a positive law bears the characteristics of a reactive law. It reacts to events or changes rather than acting first to cause change or
prevent something. Another major difference between the two legal systems might be that English criminal law has passed through many evolutionary phases and reached at the present stage through the efforts of the political power and the state; whereas, Muslim states and governments throughout the centuries neither had a hand in the development of Islamic jurisprudence nor in the training and certification of jurists or jurisconsults whose task it was to formulate the law.
History suggests that using the combined forces of religion, morality and law Shari'ah has effectively eradicated social evils and created a peaceful environment for human coexistence, where every one can enjoy his rights without a fear of infringement by the others. In cases of infringement of such rights, the offender shall be liable to severe punishments. The principles of criminal liability are on a par with the corresponding principles of the English criminal law. While protecting the rights of the victim of the crime, Shari'ah does not ignore the rights of the offender for fair trail, impartial justice and liability for punishment proportional to the offence committed by him. At the same time it recognises excuse and justification defences under appropriate circumstances, as
it will be evident while comparing the defences of intoxication and self-defence with the same in English criminal law.
The study reveals that there are similarities and differences between English law and Shari'ah when considering the issue of crime and criminal liability. However, this may be considered as normal phenomenon of comparing any two different legal systems. The differences can be attributed to their sources, origin, history and nature of the social values to be protected. Similarities can be ascribed to zeal for social justice and stability.
The study of differences and similarities will provide an opportunity to illuminate our understanding of law and the process of its development. As both the systems have their
own methodology to tackle legal issues, a different approach to the similar problem will provide a fresh insight leading to revitalised solutions. It will also be helpful to understand the methodology and the legal reasoning of both the systems leading towards a better understanding of law in general and at the same time providing efficient means for improvement
Corrigé de localisation dans un environment extérieur sans fil en utilisant estimation, filtrage, la prévision et des techniques de fusion : une application par wifi utilisant le terrain à base de connaissances
No full textLocation estimation of wireless nodes has been a very popular research area for the past few years. The research in location estimation is not limited to satellite communication, but also in WLAN, MANET, WSN and Cellular communication. Because of the growth and advancement in cellular communication architecture, the usage of handheld devices has increased rapidly, therefore mobile users originating calls are also increasing. It is estimated that more than 50% emergency calls are originated by mobile phones. Researchers have used different location estimation techniques, such as satellite based, geometrical, statistical and mapping techniques. In order to achieve accuracy, researchers have combined two or more techniques. However the terrain based location estimation is an area which is not considered by researchers extensively.Due to the fact that radio waves behave differently in different atmospheres, the calculation of few parameters is not sufficient to achieve accuracy in different terrains, especially when it is totally based on RSS which is carrying impairments.This research is focusing on the localization of wireless nodes by using geometrical and statistical techniques with the consideration of impairment/attenuation of terrains. The proposed model is consisting of four steps, which are estimation, filtering, prediction and fusion. A prototype has been built using the WiFi IEEE 802.11x standard. In step one, by using signal to noise ratio, the peninsular Malaysia geographical area is categorized into 13 different terrains/clutters. In step two, point-to-point data points are recorded by using available signal strength and receive signal strength with the consideration of different terrains. Estimation of the location is done in step three by using the triangulation method. The results of estimated locations are further filtered in step four by using average and mean of means. For error correction, filtering of the location is also done by using k- nearest neighbor rule. Prediction is done in step five by using combined variance which predicts the region of interest. Region of interest helps to eliminate locations outside of the selected area. In step six filtering results are fused with prediction in order to achieve accuracy. Results show that the current research is capable of reducing errors from 18 m to 6 m in highly attenuated terrains and from 3.5 m to 0.5 m in low attenuated terrains.L’estimation de la position des noeuds de communication sans fil est un domaine de recherche très populaire au cours des dernières années. La recherche de l'estimation de l'emplacement n'est pas limitée à la communication par satellite, mais elle concerne aussi les réseaux WLAN, MANET, WSN et la communication cellulaire. En raison de la croissance et de l’évolution des architectures de communication cellulaire, l’utilisation des appareils portables a augmenté rapidement, et les appels provenant d’utilisateurs mobiles ont également rapidement augmenté. On estime que plus de 50% des appels d'urgence sont émis par des téléphones mobiles. Les chercheurs ont utilisé différentes techniques d'estimation de la position, tels que les satellites, les techniques statistiques et la cartographie. Afin d'atteindre une meilleure précision, certains chercheurs ont combiné deux ou plusieurs techniques. Cependant, l'estimation de la position basée sur le terrain est un domaine qui n'a pas été considéré en profondeur par les chercheurs. Grâce aux ondes radio qui se comportent différemment dans des atmosphères différentes, les calculs à l’aide de quelques paramètres ne sont pas suffisants pour atteindre une précision avec différents terrains, surtout quand il sont totalement basés sur le format RSS, qui entraine des altérations.Cette recherche se concentre sur la localisation des noeuds de communication sans fil en utilisant des techniques géométriques et statistiques, et en prenant en compte l’altération et l'atténuation des terrains. Le modèle proposé est constitué de quatre étapes, qui sont l'estimation, le filtrage, la prédiction et la fusion. Un prototype a été construit en utilisant le WiFi IEEE 802.11x standard. Dans la première étape, en utilisant le rapport signal-bruit de la zone géographique, la péninsule Malaisienne est classée en 13 types de terrains différents.Dans la deuxième étape, les points de données point-à-point sont enregistrés en utilisant la force du signal disponible et en recevant la puissance du signal en considérant différents types de terrains. L’estimation de la localisation se fait au cours de troisième étape en utilisant la célèbre méthode de triangulation. Les résultats estimés sont encore filtrés dans la quatrième étape en utilisant la moyenne et la moyenne des moyennes. Pour la correction des erreurs, le filtrage de l'emplacement est également fait en utilisant la règle des plus proches voisins. La prédiction est affinée au cours de la cinquième étape en utilisant la variance combinée qui permet de prédire la région considérée. L’utilisation des régions d'intérêt contribue à éliminer les emplacements situés à l'extérieur de la zone sélectionnée. Au cours de la sixième étape, les résultats du filtrage sont fusionnés avec la prédiction afin d'obtenir une meilleure précision.Les résultats montrent que les recherches effectuées permettent de réduire les erreurs de 18 m à 6 m dans des terrains fortement atténués, et de 3,5 m à 0,5 m dans des terrains faiblement atténués
Error corrected location determination in an outdoor wireless environment by using estimation, filtering, prediction and fusion techniques : A wifi application by using terrain based knowledge
No full textL’estimation de la position des noeuds de communication sans fil est un domaine de recherche très populaire au cours des dernières années. La recherche de l'estimation de l'emplacement n'est pas limitée à la communication par satellite, mais elle concerne aussi les réseaux WLAN, MANET, WSN et la communication cellulaire. En raison de la croissance et de l’évolution des architectures de communication cellulaire, l’utilisation des appareils portables a augmenté rapidement, et les appels provenant d’utilisateurs mobiles ont également rapidement augmenté. On estime que plus de 50% des appels d'urgence sont émis par des téléphones mobiles. Les chercheurs ont utilisé différentes techniques d'estimation de la position, tels que les satellites, les techniques statistiques et la cartographie. Afin d'atteindre une meilleure précision, certains chercheurs ont combiné deux ou plusieurs techniques. Cependant, l'estimation de la position basée sur le terrain est un domaine qui n'a pas été considéré en profondeur par les chercheurs. Grâce aux ondes radio qui se comportent différemment dans des atmosphères différentes, les calculs à l’aide de quelques paramètres ne sont pas suffisants pour atteindre une précision avec différents terrains, surtout quand il sont totalement basés sur le format RSS, qui entraine des altérations.Cette recherche se concentre sur la localisation des noeuds de communication sans fil en utilisant des techniques géométriques et statistiques, et en prenant en compte l’altération et l'atténuation des terrains. Le modèle proposé est constitué de quatre étapes, qui sont l'estimation, le filtrage, la prédiction et la fusion. Un prototype a été construit en utilisant le WiFi IEEE 802.11x standard. Dans la première étape, en utilisant le rapport signal-bruit de la zone géographique, la péninsule Malaisienne est classée en 13 types de terrains différents.Dans la deuxième étape, les points de données point-à-point sont enregistrés en utilisant la force du signal disponible et en recevant la puissance du signal en considérant différents types de terrains. L’estimation de la localisation se fait au cours de troisième étape en utilisant la célèbre méthode de triangulation. Les résultats estimés sont encore filtrés dans la quatrième étape en utilisant la moyenne et la moyenne des moyennes. Pour la correction des erreurs, le filtrage de l'emplacement est également fait en utilisant la règle des plus proches voisins. La prédiction est affinée au cours de la cinquième étape en utilisant la variance combinée qui permet de prédire la région considérée. L’utilisation des régions d'intérêt contribue à éliminer les emplacements situés à l'extérieur de la zone sélectionnée. Au cours de la sixième étape, les résultats du filtrage sont fusionnés avec la prédiction afin d'obtenir une meilleure précision.Les résultats montrent que les recherches effectuées permettent de réduire les erreurs de 18 m à 6 m dans des terrains fortement atténués, et de 3,5 m à 0,5 m dans des terrains faiblement atténués.Location estimation of wireless nodes has been a very popular research area for the past few years. The research in location estimation is not limited to satellite communication, but also in WLAN, MANET, WSN and Cellular communication. Because of the growth and advancement in cellular communication architecture, the usage of handheld devices has increased rapidly, therefore mobile users originating calls are also increasing. It is estimated that more than 50% emergency calls are originated by mobile phones. Researchers have used different location estimation techniques, such as satellite based, geometrical, statistical and mapping techniques. In order to achieve accuracy, researchers have combined two or more techniques. However the terrain based location estimation is an area which is not considered by researchers extensively.Due to the fact that radio waves behave differently in different atmospheres, the calculation of few parameters is not sufficient to achieve accuracy in different terrains, especially when it is totally based on RSS which is carrying impairments.This research is focusing on the localization of wireless nodes by using geometrical and statistical techniques with the consideration of impairment/attenuation of terrains. The proposed model is consisting of four steps, which are estimation, filtering, prediction and fusion. A prototype has been built using the WiFi IEEE 802.11x standard. In step one, by using signal to noise ratio, the peninsular Malaysia geographical area is categorized into 13 different terrains/clutters. In step two, point-to-point data points are recorded by using available signal strength and receive signal strength with the consideration of different terrains. Estimation of the location is done in step three by using the triangulation method. The results of estimated locations are further filtered in step four by using average and mean of means. For error correction, filtering of the location is also done by using k- nearest neighbor rule. Prediction is done in step five by using combined variance which predicts the region of interest. Region of interest helps to eliminate locations outside of the selected area. In step six filtering results are fused with prediction in order to achieve accuracy. Results show that the current research is capable of reducing errors from 18 m to 6 m in highly attenuated terrains and from 3.5 m to 0.5 m in low attenuated terrains
Corrigé de localisation dans un environment extérieur sans fil en utilisant estimation, filtrage, la prévision et des techniques de fusion : une application par wifi utilisant le terrain à base de connaissances
No full textLocation estimation of wireless nodes has been a very popular research area for the past few years. The research in location estimation is not limited to satellite communication, but also in WLAN, MANET, WSN and Cellular communication. Because of the growth and advancement in cellular communication architecture, the usage of handheld devices has increased rapidly, therefore mobile users originating calls are also increasing. It is estimated that more than 50% emergency calls are originated by mobile phones. Researchers have used different location estimation techniques, such as satellite based, geometrical, statistical and mapping techniques. In order to achieve accuracy, researchers have combined two or more techniques. However the terrain based location estimation is an area which is not considered by researchers extensively.Due to the fact that radio waves behave differently in different atmospheres, the calculation of few parameters is not sufficient to achieve accuracy in different terrains, especially when it is totally based on RSS which is carrying impairments.This research is focusing on the localization of wireless nodes by using geometrical and statistical techniques with the consideration of impairment/attenuation of terrains. The proposed model is consisting of four steps, which are estimation, filtering, prediction and fusion. A prototype has been built using the WiFi IEEE 802.11x standard. In step one, by using signal to noise ratio, the peninsular Malaysia geographical area is categorized into 13 different terrains/clutters. In step two, point-to-point data points are recorded by using available signal strength and receive signal strength with the consideration of different terrains. Estimation of the location is done in step three by using the triangulation method. The results of estimated locations are further filtered in step four by using average and mean of means. For error correction, filtering of the location is also done by using k- nearest neighbor rule. Prediction is done in step five by using combined variance which predicts the region of interest. Region of interest helps to eliminate locations outside of the selected area. In step six filtering results are fused with prediction in order to achieve accuracy. Results show that the current research is capable of reducing errors from 18 m to 6 m in highly attenuated terrains and from 3.5 m to 0.5 m in low attenuated terrains.L’estimation de la position des noeuds de communication sans fil est un domaine de recherche très populaire au cours des dernières années. La recherche de l'estimation de l'emplacement n'est pas limitée à la communication par satellite, mais elle concerne aussi les réseaux WLAN, MANET, WSN et la communication cellulaire. En raison de la croissance et de l’évolution des architectures de communication cellulaire, l’utilisation des appareils portables a augmenté rapidement, et les appels provenant d’utilisateurs mobiles ont également rapidement augmenté. On estime que plus de 50% des appels d'urgence sont émis par des téléphones mobiles. Les chercheurs ont utilisé différentes techniques d'estimation de la position, tels que les satellites, les techniques statistiques et la cartographie. Afin d'atteindre une meilleure précision, certains chercheurs ont combiné deux ou plusieurs techniques. Cependant, l'estimation de la position basée sur le terrain est un domaine qui n'a pas été considéré en profondeur par les chercheurs. Grâce aux ondes radio qui se comportent différemment dans des atmosphères différentes, les calculs à l’aide de quelques paramètres ne sont pas suffisants pour atteindre une précision avec différents terrains, surtout quand il sont totalement basés sur le format RSS, qui entraine des altérations.Cette recherche se concentre sur la localisation des noeuds de communication sans fil en utilisant des techniques géométriques et statistiques, et en prenant en compte l’altération et l'atténuation des terrains. Le modèle proposé est constitué de quatre étapes, qui sont l'estimation, le filtrage, la prédiction et la fusion. Un prototype a été construit en utilisant le WiFi IEEE 802.11x standard. Dans la première étape, en utilisant le rapport signal-bruit de la zone géographique, la péninsule Malaisienne est classée en 13 types de terrains différents.Dans la deuxième étape, les points de données point-à-point sont enregistrés en utilisant la force du signal disponible et en recevant la puissance du signal en considérant différents types de terrains. L’estimation de la localisation se fait au cours de troisième étape en utilisant la célèbre méthode de triangulation. Les résultats estimés sont encore filtrés dans la quatrième étape en utilisant la moyenne et la moyenne des moyennes. Pour la correction des erreurs, le filtrage de l'emplacement est également fait en utilisant la règle des plus proches voisins. La prédiction est affinée au cours de la cinquième étape en utilisant la variance combinée qui permet de prédire la région considérée. L’utilisation des régions d'intérêt contribue à éliminer les emplacements situés à l'extérieur de la zone sélectionnée. Au cours de la sixième étape, les résultats du filtrage sont fusionnés avec la prédiction afin d'obtenir une meilleure précision.Les résultats montrent que les recherches effectuées permettent de réduire les erreurs de 18 m à 6 m dans des terrains fortement atténués, et de 3,5 m à 0,5 m dans des terrains faiblement atténués
Corrigé de localisation dans un environment extérieur sans fil en utilisant estimation, filtrage, la prévision et des techniques de fusion : une application par wifi utilisant le terrain à base de connaissances
No full textLocation estimation of wireless nodes has been a very popular research area for the past few years. The research in location estimation is not limited to satellite communication, but also in WLAN, MANET, WSN and Cellular communication. Because of the growth and advancement in cellular communication architecture, the usage of handheld devices has increased rapidly, therefore mobile users originating calls are also increasing. It is estimated that more than 50% emergency calls are originated by mobile phones. Researchers have used different location estimation techniques, such as satellite based, geometrical, statistical and mapping techniques. In order to achieve accuracy, researchers have combined two or more techniques. However the terrain based location estimation is an area which is not considered by researchers extensively.Due to the fact that radio waves behave differently in different atmospheres, the calculation of few parameters is not sufficient to achieve accuracy in different terrains, especially when it is totally based on RSS which is carrying impairments.This research is focusing on the localization of wireless nodes by using geometrical and statistical techniques with the consideration of impairment/attenuation of terrains. The proposed model is consisting of four steps, which are estimation, filtering, prediction and fusion. A prototype has been built using the WiFi IEEE 802.11x standard. In step one, by using signal to noise ratio, the peninsular Malaysia geographical area is categorized into 13 different terrains/clutters. In step two, point-to-point data points are recorded by using available signal strength and receive signal strength with the consideration of different terrains. Estimation of the location is done in step three by using the triangulation method. The results of estimated locations are further filtered in step four by using average and mean of means. For error correction, filtering of the location is also done by using k- nearest neighbor rule. Prediction is done in step five by using combined variance which predicts the region of interest. Region of interest helps to eliminate locations outside of the selected area. In step six filtering results are fused with prediction in order to achieve accuracy. Results show that the current research is capable of reducing errors from 18 m to 6 m in highly attenuated terrains and from 3.5 m to 0.5 m in low attenuated terrains.L’estimation de la position des noeuds de communication sans fil est un domaine de recherche très populaire au cours des dernières années. La recherche de l'estimation de l'emplacement n'est pas limitée à la communication par satellite, mais elle concerne aussi les réseaux WLAN, MANET, WSN et la communication cellulaire. En raison de la croissance et de l’évolution des architectures de communication cellulaire, l’utilisation des appareils portables a augmenté rapidement, et les appels provenant d’utilisateurs mobiles ont également rapidement augmenté. On estime que plus de 50% des appels d'urgence sont émis par des téléphones mobiles. Les chercheurs ont utilisé différentes techniques d'estimation de la position, tels que les satellites, les techniques statistiques et la cartographie. Afin d'atteindre une meilleure précision, certains chercheurs ont combiné deux ou plusieurs techniques. Cependant, l'estimation de la position basée sur le terrain est un domaine qui n'a pas été considéré en profondeur par les chercheurs. Grâce aux ondes radio qui se comportent différemment dans des atmosphères différentes, les calculs à l’aide de quelques paramètres ne sont pas suffisants pour atteindre une précision avec différents terrains, surtout quand il sont totalement basés sur le format RSS, qui entraine des altérations.Cette recherche se concentre sur la localisation des noeuds de communication sans fil en utilisant des techniques géométriques et statistiques, et en prenant en compte l’altération et l'atténuation des terrains. Le modèle proposé est constitué de quatre étapes, qui sont l'estimation, le filtrage, la prédiction et la fusion. Un prototype a été construit en utilisant le WiFi IEEE 802.11x standard. Dans la première étape, en utilisant le rapport signal-bruit de la zone géographique, la péninsule Malaisienne est classée en 13 types de terrains différents.Dans la deuxième étape, les points de données point-à-point sont enregistrés en utilisant la force du signal disponible et en recevant la puissance du signal en considérant différents types de terrains. L’estimation de la localisation se fait au cours de troisième étape en utilisant la célèbre méthode de triangulation. Les résultats estimés sont encore filtrés dans la quatrième étape en utilisant la moyenne et la moyenne des moyennes. Pour la correction des erreurs, le filtrage de l'emplacement est également fait en utilisant la règle des plus proches voisins. La prédiction est affinée au cours de la cinquième étape en utilisant la variance combinée qui permet de prédire la région considérée. L’utilisation des régions d'intérêt contribue à éliminer les emplacements situés à l'extérieur de la zone sélectionnée. Au cours de la sixième étape, les résultats du filtrage sont fusionnés avec la prédiction afin d'obtenir une meilleure précision.Les résultats montrent que les recherches effectuées permettent de réduire les erreurs de 18 m à 6 m dans des terrains fortement atténués, et de 3,5 m à 0,5 m dans des terrains faiblement atténués
Mother’s Health-seeking Behaviour and Childhood Mortality in Pakistan
No full textThe paper examines the Mother’s Health-seeking Behaviour and Childhood Mortality in Pakistan. This is based on the 1990-91 Pakistan Demographic and Health Survey (PDHS), a nationally representative survey covering all four provinces of the country. It was found that neonatal, infant, and child mortality rate is the highest among children of mothers aged less than 20 years. Infant and Child mortality rate is likewise higher among first and higher order births than among births of second or third order. It has further found that mortality declines as the length of the birth interval increases. The results reveal that the education of mother has significant effect on the neonatal, infant and child survival, as mother’s education increases the chances of survival of neonatal, infant and child also increases. Health care factors such as antenatal care, place of delivery, assistance at delivery and immunisation also influenced neonatal, infant and child mortality. The paper suggests that for the improvement of the health conditions of children in Pakistan, first, it is necessary that the educational status of the population in general, and of mothers in particular, should be improved, and second, the health services should be accessible and available for the promotion of health care practices.
The monetary transmission mechanism in Pakistan: a sectoral analysis
No full textThe present paper takes a first step in investigating the monetary transmission mechanism in Pakistan at a sectoral level. Using quarterly data spanning from 1973:1 to 2003:4, we examine whether monetary policy shocks have different sectoral effects. Taking note of structural transformation of the economy and the monetary and financial reforms during 1990s, we also assess whether the reform process has notable impact on the monetary transmission mechanism. We find evidence supporting sector-specific variation in the real effects of monetary policy. Our results also suggest significant changes in the transmission of monetary shock to real sector of the economy during post-reform period.Monetary transmission mechanism; VAR; Pakistan; Sectoral analysis
- …
