حضرت سید افتخار الحسن شاہ زواری
جیہڑا آپ دے در تے آیا دکھ رہیا ناں بیماری
کھوبر پُل تے لمبی بھینی دین دا جھنڈا لایا
ایڈا فیض روحانی ونڈیا ہر اک نوں ورتایا
اوگن ہار غریباں اتے بہتا کرم کمایا
دل دا میل اتارن پل وچ بھاویں جنی وی اوگنہاری
ویکھن نوں اوہ بہتے سادے پر دل وچ دیوے بلدے
کرن نظارے رب دے پیارے جہڑے سنگت رلدے
بہتا شوق زیارت رکھدے راہواں آپ دیاں ملدے
اوگن ہار غریباںدی حالت آپ نے بہت سنواری
ملتان شہر توں فیض روحانی لمبی بھینی آیا
مخدوم و المشائخ زوار سائیں نے بہتا ہی کرم کمایا
موتی پئے بکھیرن سائیں جتھے وی قدم مبارک پایا
راہواں آپ دیاں تک تک سئیاں کردیاں رہن انتظاری
مخدوم والمشائخ زوار سائیں بیان جدوں فرماندے
انسان کیا پرندے وی ایتھے آکے ہن رک جاندے
سئیاں راہواں تک دیاں رہندیاں کدوں سرکار آندے
مکھ مخدوم دا تکن لئی خلقت راہواں تک تک ہاری
محفل پاک نظامی دے وچ جدوں جلوا افروز نیں ہوندے
محفل دے پروانے سارے عشق نبی وچ روندے
نیر وہاون تے کرلاون پئے ہنجواں ہار پروندے
قلبی عشق روحانی والی لگے دل تے ضرب وی کاری
بیم و رجا تے نظر جے پائیے ولیاں دے سَر کردے
سلطان سکندر مست قلندر آن سلامی بھردے
اوگن ہار غریباں اُتے کنیاں وانگوں ورہدے
جس تے نظر کرم دی پاندے کردے قلب وی جاری
عشق نبی دی شمع جلائی گھر گھر روشن ہویا
لبھی جس حقیقی حیرت اوناں رات نوں سویا
بن حیرت ایہہ زندگی گزری کر افسوس اوہ رویا
حیرت باہجوں زندگی ساری بن گئی ذلت خواری
سید شیر علی شاہ نے لمبی بھینی...
The frequently fluctuating price of palm oil causes palm oil farmers in Tanjung Kudu, Kualu Village, to take action to overcome their family's economic problems as a result of prices fluctuating drastically. The aim of this research is to determine the behavior of oil palm farmers in facing price fluctuations and to determine the Islamic economics review of the behavior of oil palm farmers in facing price fluctuations in Tanjung Kudu, Kualu Village. This research is field research located in Tanjung Kudu, Kualu Village. The informants in this research were 10 oil palm farmers with the criteria being farmers who had a plantation area of more than 2 hectares and had worked for a minimum of 5 years. Data collection techniques through observation, interviews and documentation. Data analysis is descriptive qualitative. It was found that oil palm farmers carry out various kinds of behavior to increase family income, such as working side jobs, becoming farm laborers, construction workers, traders, and others. Some of the oil palm farmers' wives also help in increasing the family's income by opening small businesses such as opening a breakfast business, a daily shop business, and a laundry business. The behavior of oil palm farmers in facing price fluctuations applies the principle of honesty, always trying to earn a living, not being discouraged, never giving up, being responsible for family needs, and not being lazy in working.
Function optimization (constrained and unconstrained) is a process of finding the optimal point for the given problem. As the research is being carried out and new problem areas are being investigated, global optimization problems are getting more and more complex. The research presented in this dissertation is about to build a new accelerated function optimization technique based on evolutionary algorithm (EA). EAs have low convergence rate due to their evolutionary nature. The acceleration of evolutionary algorithm in the function optimization is achieved by incorporating gene excitation. In General, the distribution of the initial population into the search space effects the evolutionary algorithm performance. Concept of opposition based populations is employed to distribute the chromosomes more effectively. Image Segmentation is a significant and successful way for many real world applications like segmenting lung from CT scanned images. Segmentation is the process of finding optimal segments within an image. The main objective of this thesis is to make a new entirely automatic system that segments the lungs from the CT scanned images. To achieve this objective, a completely automatic un-supervised scheme is developed to segment lungs. The methodology utilizes a fuzzy histogram based image filtering technique to remove the noise, which preserves the image details for low as well as highly corrupted images. Peaks and Valley are found in bimodal group of images using Genetic Algorithm (GA). GAs are used for function optimization process and hence determining the global optimal solutions. The optimal and dynamic grey level is find out by using GA. Finding optimal clustering within a dataset is an important data mining task. Clustering and segmentations are somewhat related optimization problems of finding optimal grouping in the provided set of points. Clustering of datasets has been achieved by using an entirely automatic un-supervised approach. The employed technique optimizes multi- objective as compared to optimize single objective for clustering. Relative cloning is performed to adopt the individuals according to their fitness, which improves the algorithm performance.